JP5311319B1 - Case component extraction program - Google Patents

Abstract

Case components are extracted from extracted character strings with high accuracy.
A character string is extracted from the description of the claims in the patent specification converted into electronic data, and at least a name of the invention is extracted from the character string, and processed in the preprocessing step. A character inclusion step in which a predetermined character string is defined as one word after performing morphological analysis and syntax analysis on the obtained character string, and the character including the word that has undergone the word inclusion step A noun phrase extraction step for extracting a noun phrase from a column, and a noun phrase excluding the same noun phrase as the name of the invention among the extracted noun phrases in the noun phrase extraction step; And a case component extraction step of extracting as a case component.
[Selection] Figure 1

Description

  The present invention relates to a case component extraction program for extracting a case component from a character string described in an electronic data document such as a patent specification.

  Conventionally, the purpose is to check a patent specification in a short time.Especially, even when the number of claims is kept as small as possible, including the description of the intermediate concept, the scope of rights, Patent specification analysis display devices that can be checked in consideration of the patent rate have been proposed (see, for example, Patent Document 1). This patent specification analysis display device has an advantage that the directionality described in the specification itself can be easily checked including intermediate concepts.

  However, the disclosed technique of Patent Document 1 has a problem in that it is not possible to perform an analysis focusing on the breadth of the inventive concept defined in the claims, in other words, the breadth of the technical scope. .

  For this reason, Patent Document 2 discloses a patent specification analysis display device capable of counting and displaying the degree of limitation of the invention defined in the claims of the patent specification. According to the technology disclosed in Patent Document 2, the concept of a case component is newly adopted as a minimum extraction unit in a numerical method for quantifying and quantifying the breadth of the technical scope of the patented invention. The number of case components (number of case components) is a quantitative index that has the highest correlation with the breadth of the technical scope of the patented invention. The number of case components is obtained by quantifying how much the constituent elements are limited in the description of the claims. The number of case components counts and counts only the elements necessary to realize the verb proposition among the nouns (including noun phrases) that depend on the verb defined in the claims. is there.

JP 2006-155151 A JP 2009-259154 A

  However, since the disclosed technique of Patent Document 2 is not an algorithm suitable for practical use in actually extracting the number of case components from the claims, the case component extraction flow becomes very complicated, There was a problem that efficiency would deteriorate.

  Therefore, the present invention has been devised in view of the above-mentioned problems, and the purpose thereof is to optimize the algorithm more in actually extracting the number of case components from the claims, The object is to provide a case component extraction program capable of improving the extraction efficiency.

The case component extraction program according to claim 1 extracts a character string from the description of the scope of claims in the patent specification converted into electronic data, and continues to the end of the sentence following “characteristic of” in the character string. A preprocessing step for extracting the wording, or a wording until a word other than a punctuation mark or noun appears backward from the end of the character string, and the character string processed in the preprocessing step. After morphological analysis and syntactic analysis of, the nouns + nouns and nouns + "no" + nouns and nouns + "no" + nouns and nouns + "target, free and possible"・ Noun + “To” ・ Noun + “By” ・ At least ”+ Quantitative expression ・ Noun +“ Yes ”・“ Yes ”・“ Yes ” ""・ "Any" or "no" + "no" + "adjective" + noun or "noun +" to be related to ”As a single word or“ abbreviation ”,“ slightly ”,“ sequential ”plus a noun as a single word, and the above character including the word after the word inclusion step and noun phrase extracting noun phrases from the column, in the noun phrase extraction step, out of the noun phrase that the extracted, rated component to be extracted at least as rated component noun phrases excluding same noun phrase and the name of the invention The extraction step is executed by a computer.

  The case component extraction program according to claim 2 is the invention according to claim 1, wherein in the pre-processing step, the same word as the name of the invention is replaced with a predetermined word for the character string, and the case component extraction step is performed. Then, it is characterized in that the computer executes to exclude the replaced predetermined word from the case components to be extracted.

  The case component extraction program according to claim 3 is the invention according to claim 1 or 2, wherein in the case component extraction step, A and B are alternatively defined when A and B are respectively noun phrases. In such a case, the computer is caused to exclude one of A and B from the case components to be extracted.

  The case component extraction program according to claim 4 is the invention according to any one of claims 1 to 3, wherein in the case component extraction step, noun + parallel particle ("ka" or "ya") The computer is made to exclude the wording which consists of from the case component which should be extracted.

  The case component extraction program according to claim 5 is the invention according to any one of claims 1 to 4, wherein in the case component extraction step, “˜ga”, “˜ha”, In the case where a relation between a subject defined by either “to” or “to” and a verb related to the subject is included, the word corresponding to the subject is already in the upper row. If it is described, the word corresponding to the subject is excluded from the case components to be extracted, and if the word corresponding to the subject is not yet described in the upper row, the word corresponding to the subject The computer is caused to perform processing so as to be included in the case component to be extracted.

The case component extraction program according to claim 6 is the invention according to any one of claims 1 to 5, wherein the case component extraction step sequentially extracts verbs, and the extracted verbs are described in the upper stage. an identification step for identifying whether the above identification of the discrimination in step result, verbs and the extraction, when identifying the effect that already described in its upper part, a noun phrase to be received relates to verbs the identification , And a specifying step for identifying a noun phrase indicating a subject on which a verb already described in the upper part is modified, a noun phrase identified in the identifying step, and a noun phrase depending on the extracted verb Of the noun phrases that depend on the extracted verb and the noun phrase that depends on the extracted verb, those that are determined to be the same in the identity determination step are the case components to be extracted. Characterized in that to execute to have a exclusion exclusion process on the computer.

The case component extraction program according to claim 7 is the method according to any one of claims 1 to 6, wherein in the case component extraction step, the wording regarded as the name of the invention in the preprocessing step is “method”. , "~ Step and (O)", "~ Step and (O)", "~ Process and (O)", "Function and (O)", "~ Process and (O)", " ~ "Processing ()""is extracted and excluded from the case components to be extracted , or", "+" Step / stage / process / function / process / process "+" as "is extracted and this is extracted. Is excluded from the case components to be extracted.

  The case component extraction program according to claim 8 extracts “any” or “any” extracted as a noun in the case component extraction step in the invention according to any one of claims 1 to 7. When there are a plurality of words that are directly related to “any” or “any”, it is excluded from the case components to be extracted for the preceding noun phrase. It is made to perform.

  The case component extraction program according to claim 9 is the invention according to any one of claims 1 to 8, wherein in the case component extraction step, the noun + “target / free / possible / impossible / impossible / yo” + (1) causing a computer to exclude noun phrases including ("na", "ni", "no", "to") or words with hiragana added to these noun phrases from the case components to be extracted. It is characterized by.

The case component extraction program according to claim 10 is the invention according to any one of claims 1 to 9, wherein in the case component extraction step, the number of extracted case components is counted and output or stored. Or the number of case components (hereinafter referred to as CN) is output or stored as an evaluation value based on the following calculation formula.
Evaluation value = {α-log (CN + β)} × γ
Where α = 3-8
β = 15-25
γ = 15-40

  The case component extraction program according to claim 11 is the invention according to any one of claims 1 to 10, wherein in the case component extraction step, “noun or noun phrase” + “A” + “noun or noun phrase” In the case where A = “up to”, “to”, “to no”, “to”, “ya”, or “ya”, the words are separated by this “A”. It is characterized by causing a computer to extract individual “nouns or noun phrases” separately as case components.

  The case component extraction program according to claim 12 is the invention according to any one of claims 1 to 11, wherein in the case component extraction step, “this”, “it”, “that”, “which”, The computer is caused to include a pronoun consisting of any one of “here”, “there”, “over there”, and “where” in the case component to be extracted.

  The case component extraction program according to claim 13 is the invention according to any one of claims 1 to 12, wherein, in the case component extraction step, the noun form of the verb is connected to the case and the noun form of the verb is connected to the case component. It is characterized by making a computer perform extracting as.

  The case component extraction program according to claim 14 is the invention according to any one of claims 1 to 13, wherein, in the word inclusion step, "abbreviation", "slightly", "sequential" + noun is one word. To cause the computer to execute.

The case component extraction program according to claim 15 is the feature according to any one of claims 1 to 14, wherein, in the case component extraction step, "characteristic" in "characterize" in the character string. The computer is caused to extract at least a noun phrase that is removed from the character string as a case component.
Case component information transmission system of claim 16 includes a rated component extracting means for extracting the rating component by any one of claims rated component extraction program of claim 15, thus resulting in rated component extracting means A server for storing at least one of the figure, data, and the number of case components, and a transmission means for reading out the number of case components of the patent requested from the client side from the server and transmitting it to the client side via the network It is characterized by providing.

  In the present invention having the above-described configuration, it is possible to extract the case component as the degree of limitation of the invention defined in the claims of the patent specification with high accuracy.

It is a figure for demonstrating a case component. It is another figure for demonstrating a case component. It is a flowchart for performing the case component extraction program to which this invention is applied.

  Hereinafter, as a form for carrying out the present invention, a case component extraction program for extracting a case component from a character string described in an electronic data document including a patent specification and the like will be described in detail with reference to the drawings. Explained.

  In the following example, a case where a case component is extracted from the description of the claims in the patent specification will be described as a document. However, the present invention is not limited to this, and the present invention is applied to any other document. Of course, you may do.

Case ingredient concept

  Case components have been proposed as a minimum extraction unit in a quantification method for quantifying and quantifying the breadth of the technical scope of the patented invention.

  The claims are described in a so-called requirement enumeration system, in which each component A, B, and C is defined by enumerating as "XX apparatus (method) including ~ A, ~ B, and C" " As a premise, each component A, B, and C depends on a verb phrase. That is, when each of the constituent elements A, B, and C is a subject, a verb phrase depends on each of them, and a sentence composed of the subject and a predicate can be established. When the verbs in these verb phrases form a sentence as a predicate, the combination of noun phrases is basically determined in order to realize the movement, state, and relationship expressed by the verb. If a verb is tentatively called the case rule of a verb, the verb requires a combination of noun phrases required to form a sentence according to the lexical meaning of the verb. Noun phrases required as sentence components can be called case components in supplementing verbs.

  For example, it is assumed that the component “signal generating means” is defined by the following B-1).

  B-1) “Signal generation means for generating a drive signal in response to a user request, and so on”

  At this time, a verb phrase “generates a drive signal in response to a user request” depends on the signal generation means. In order to realize and complete the action of the verb “Generate” in this verb phrase, the role of requesting the noun phrases “user request (according to)” and “driving signal ()” is dominant. These noun phrases are case components. And the noun phrases such as “user's request (according to)” and “drive signal ()” have similar relational meanings such as “operation start condition” and “target” for the verb “generate” respectively. Is the case. This verb “generate” should be realized by the lexical meaning of the noun phrases that realize this case component, and the case formed as the relative meaning of those noun phrases. It becomes the core part of the proposition. In the above example, the operation start condition for realizing the proposition by the verb “generate” must be “in response to the user's request”, and “drive signal” must be generated as the target. Therefore, these two are conditional numbers for the realization of the verb proposition.

  As shown in FIG. 1, the case where the number of conditions that must be cleared in order to realize a proposition using such a verb is schematically shown. Since the number of conditions for starting the action by the verb is reduced, the possibility that the proposition can be realized is improved. On the other hand, FIG. 2 schematically shows a case where the number of conditions that must be cleared for the realization of a proposition by a verb is increased. In such a case, the possibility that the proposition can be realized decreases. .

  As the condition number increases, the number of steps for determining whether or not the condition is satisfied before the operation is actually started increases. Even considering that there is a slight difference in the probability of satisfying each condition, the verb phrase depends on as the number of judgment steps for this condition increases, in other words, as the case component that defines the condition increases. This means that the possibility of falling under component A is reduced, and the technical scope is narrowed by the reduced possibility. Conversely, if the number of case components is small, this means that the verb phrase is likely to fall under the component A that it depends on, indicating that the technical scope will expand accordingly. .

  In this way, the number of case components (condition number) governs the possibility of action start by a verb, and thus the possibility of realizing a proposition, and this affects the breadth of the technical scope. By counting the number of case components included in this verb phrase with the minimum extraction unit of the conversion method as the case component, it is considered that numericalization according to the width of the technical range can be realized.

  In the example of B-1) described above, the two case components “depending on the user's request” and “drive signal” that depend on the verb “generate” to realize the proposition of the component “signal generation means” Therefore, the number of case components is 2. At this time, if there is no case component “in response to the user's request” that defines the operation start condition of the verb “generate”, the number of case components is 1, regardless of whether or not the user has requested. The “drive signal” can be “generated”, and the possibility of realizing the proposition of “signal generation means” is increased. This suggests that the component “signal generation means” can improve the possibility of verifying the identity of the technical elements of the suspected infringing product. This is considered to correspond to the ease of capturing the patented invention with respect to the product, and thus the technical scope of the patented invention. For this reason, it is considered that by expressing the proposition feasibility of the constituent element through the number of case components, it is possible to achieve more optimal quantification and quantification according to the width of the technical range.

  The claims are described in a so-called requirement enumeration system, in which each component A, B, and C is defined by enumerating as "XX apparatus (method) including ~ A, ~ B, and C" " The number of case components is determined for each of the components A, B, and C, and the sum is defined as the number of case components of the OO device as the patented invention. If the number of case components of component A is 1, the number of case components of component B is 3, and the number of case components of component C is 2, the case of the XX device as a patented invention constituted by these components is assumed. The number of components is 6, which is the sum of the components.

  When actually determining the number of case components of each component, in the above-mentioned example of B-1), the case components “according to the user's request” and “drive signal” that depend on the verb “generate” are set. Although the case component is extracted, the actual extraction operation of the case component is performed by using morphemes as marks such as “accordingly” and “to”.

  Table 1 shows examples of morphemes that are referred to as landmarks when extracting case components.

  The claims may be defined not only in the orthodox form as in B-1) but also as shown in C-1), for example.

  C-1) "Reflecting means for totally reflecting the light beam, the spot diameter of which is controlled by the first lens, by the reflecting plate,"

  For example, the component “reflecting means” constituting the scope of the claims depends on the verb “total reflection”. As a stipulation that defines the action start condition of the verb “totally reflect”, “light flux ()” and “reflector (by)” exist, and first count the number of case components 2. Can do. However, when focusing on one of the case components “light flux”, it can be seen that the verb phrase “the spot diameter is controlled by the first lens” is further dependent. Rather than defining all luminous fluxes as “totally reflecting” objects, it is technically more restrictive to define conditional luminous fluxes as “totally reflecting” objects. Feasibility of proposition decreases. For this reason, it is necessary to correct this decrease in proposition feasibility as the number of case components.

  In such a case, in the verb phrase “spot diameter is controlled by the first lens” that depends on “light flux”, the two case components “first lens ( )) And “spot diameter ()” are present, so add 2 case components. As a result, the total number of case components for C-1) is 4.

  In addition, description C-1) of this claim may be defined as C-2) below depending on the creator of the specification.

  C-2) “Flux control means for controlling the spot diameter of the light flux by the first lens, and reflection means for totally reflecting the light flux by the reflecting plate, and so on”.

  The technical range formed by the “light flux controlling means” and the “reflecting means” in C-2) is substantially the same as C-1). In C-2), the content of the verb phrase that depends on the “light flux” in C-1) is redefined as a proposition to be realized by the “light flux control means”. In fact, even in C-1), in order to produce the defined "light flux", some means or member will be used, but it is only deliberately defined as "light flux control means". . Similarly, when the number of case components is counted for C-2), the number of case components is 2 for the light flux control means and the number of case components is 2 for the reflection means. The result is the same as for C-1). Become.

  As described above, since the scope of the technical range is counted through the number of case components required to realize the proposition of the constituent element, the description method and the number of words differ from each other substantially. C-1) and C-2) consisting of the same technical scope can be expressed with the same number of case components. If the minimum extraction unit is a component, C-1) is 1 and C-2) is 2. If the minimum extraction unit is a word, C-1) is 7, and C-2) is 9. In view of this, it is considered that the number of case components can be a minimum extraction unit of a more suitable numerical method.

  The configurations of C-1) and C-2) may be defined by the following C-3).

C-3) “Flux control means for controlling the spot diameter of the light flux by the first lens, and reflection means for totally reflecting the light flux whose spot diameter is controlled by the light flux control means by the reflector, and so on”

  The wavy line portion of C-3) corresponds to the portion of “the luminous flux” in C-2). However, the content of the verb phrase described in this wavy line is a proposition that has already been realized by the straight line part that depends on the "light flux control means". This is merely a confirmation to prevent doubt about interpretation of the “light beam” as the object that the “means” totally reflects. For this reason, when the number of case components is calculated, if the description of the wavy line portion is also counted in the same manner, the content of the underlined portion is double counted, resulting in a deterioration in measurement accuracy.

  For this reason, it is possible to eliminate the shift in the number of case components due to the difference in the description order and description method of the claims by taking care not to count the description of the wavy line already executed as a proposition. Actually, it is necessary to determine whether or not the proposition realized by the description of the straight line portion and the description of the wavy line portion is the same.

  The numerical method using the minimum extraction unit as a case component is particularly useful when determining the identity of propositions. Case components, unlike words, have the property of being governed by verbs, so that the case components are the same means that in addition to the content of the case component, the verb that governs it must also be the same. Yes. If the case component and the verb that governs it are the same, then the proposition realized by this is the same. For this reason, it is possible to identify whether or not the propositions are the same through the determination of the identity of the case components, and thus it is possible to easily identify whether or not the proposition is a double count. Moreover, the difference in the description method between the specification creators does not affect the obtained numerical value.

  In the above-described example, the case where the description of the claims is described in the component requirement enumeration type is described as an example. However, even if it is described in another format, it can be counted in the same manner. For example, in the case of being described in the Jepson type, the description of “writing”, which is a known part, is also counted by the same method. At this time, in the case where the counting method described in “note writing” is not known, counting may be performed after rewriting from the Jepson type to the component requirement enumeration type. Incidentally, the rewriting method from the Jepson type to the component requirement enumeration type is conventionally known.

  Further, even when the scope of claims is described in a flow-through type, it can be counted by the same method. For example, if C-2) is written in a flow-through style, it will be as shown in C-4) below.

  C-4) "The spot diameter of the light beam is controlled by the first lens, and this light beam is totally reflected by the reflector.

  Compared to C-2), C-4) described in this flow-through type is different in that the words “light flux controlling means” and “reflecting means” are omitted, but the rest is the same. . “Flux control means” and “reflecting means” are subject words and are not counted, but only count noun phrases that depend on this subject. There is no difference in the number of components.

Case component extraction process

  The case component is extracted based on the following process. What is hereinafter referred to as “count” means that all are extracted as case components.

  FIG. 3 shows a flowchart of a case component extraction program to which the present invention is applied. In this flowchart, first, in pre-processing step S11, a character string is extracted from the description of the claims in the patent specification converted into electronic data. Then, predetermined preprocessing is performed on the extracted character string.

  In this preprocessing, first, if there is a part enclosed in parentheses in the character string, it is deleted. In other words, if there is a description in the character string “with the light beam control means for controlling the spot diameter (φ) of the light beam by the first lens”, for the convenience of subsequent case component extraction, Delete “(φ)” in parentheses. Incidentally, when there is no part enclosed in parentheses in the character string, the process is omitted.

  Next, the wording corresponding to the name of the invention is extracted. In this process, the word following “characterized by” in the character string is regarded as the name of the invention. For example, when the ending of the character string ends with “information filtering device characterized by”, a process is performed in which “information filtering device” following “characterized by” is regarded as the name of the invention.

  In other cases, a process is performed in which each word from the end of the character string is confirmed in the reverse direction until a word other than a punctuation mark or noun appears as the name of the invention. For example, in the case where the ending ends with “vehicle having“ ˜ ”, words other than the noun“ having ”appear when words are confirmed one by one from the end of the character string. A process (vehicle) in which a word other than the noun appears is regarded as the name of the invention. In addition, in the case of “medium on which is recorded”, words other than the noun “recorded” appear when words are confirmed one by one from the end of the character string. A portion (medium) where a word other than the noun appears is regarded as the name of the invention.

  At this time, in this pre-processing step S11, it is possible to search the character string for the same word as the recognized invention name and replace it with a predetermined word (for example, “invention”). As a result, when the name of the invention has a certain number of characters, it is possible to process so as to be surely determined as one noun in the syntax analysis. Note that the present invention is limited to the above-described method as long as a character string is extracted from the description of the claims in the patent specification converted into electronic data, and at least the name of the invention is extracted from the character string. However, the present invention may be executed based on any other method.

  After preprocessing step S11 is completed, the process proceeds to word inclusion step S12. In this word inclusion step S12, the character string processed in the preprocessing step is subjected to morphological analysis and syntax analysis to be decomposed into words, and then processing is performed with a predetermined character string as one word. That is, in this word inclusion step S12, a process of grouping words is performed so that the extraction process in the subsequent stage can be easily performed.

In this word inclusion step S12, the character string processed in the preprocessing step S11 is decomposed into words, and then noun + noun, noun + “no” + noun, noun + “no” + noun, noun + “ For extraction of case components such as "manual / free / possible", noun + "to", noun + "by", "at least" + quantity expression, noun + "to / can / do" Words that should be one word (inclusive word) are grouped as one word. In addition, “the above”, “above”, “the”, “the”, a conjunction (“this”, “that”, “that”, “which”) and the following word and one word (inclusive word) As a summary. In addition, a process of collecting nouns + “no” + “adjectives” + nouns and “nouns +“ becomes related to, related to, and related to ”as one word (inclusive word) is performed. Further, in this word inclusion step S12, a process of combining “abbreviated”, “slightly”, “sequential” + nouns into one word (inclusive word) may be performed.
In general, when morphological analysis is performed by natural language processing, words are decomposed into a minimum unit. However, in case component extraction, inclusive words such as nouns + nouns should be counted as one word. Therefore, based on the predetermined rule as described above, it is necessary to perform a process for collecting the comprehensive words as one word among the minimum unit words decomposed by the morphological analysis. With this word inclusion step, it is possible to extract the case components with high accuracy even using the automatic decomposition result of the words by morphological analysis.

  In performing the above-described processing, in the word inclusion step S12, so-called morpheme analysis technology and syntax analysis technology are appropriately used. A morpheme is “the smallest unit that has meaning in natural language”. Morphological analysis is the decomposition of sentences into morpheme units. For example, “Taro ate lunch” can be broken down into the morphemes shown in Table 2 below.

  As for the actual state of morphological analysis in practical use, in natural language processing, if the unit of “morpheme” in its original meaning is decomposed, the granularity becomes finer than that useful for analysis. For this reason, the resolution is often limited to “coarse” units. For example, although it is decomposed into 8 parts of speech in the above example, in actual analysis, it may be decomposed into 3 units as shown in Table 3 below.

  The output of general morpheme analysis / syntax analysis is the granularity information of each “clause” unit and the detailed structure in the block of each “clause” unit (for example, “Taro (noun)-is a (particle)”. ) In two layers (or can be configured later).

  By the way, this "lunch rice" can be considered to be decomposed into at least two morphemes of "daytime" and "rice". In order to perform the extraction, it is preferable not to decompose more than “lunch”.

  The extent to which these morphemes are put together can be freely adjusted using morphological analysis technology. However, in the present invention, these morphemes are expressed as “Taro is” or “Lunch” as described above. , Process so that nouns or noun phrases are grouped as a unit.

  In this word inclusion step S12, further syntax analysis may be performed. The result of the morphological analysis described above is a one-dimensional word string having only context. Parsing this word string into a two-dimensional “syntax tree” is syntactic analysis.

  In a syntax tree, each word typically has at most one “parent” and zero or more “children”. The “parent” of a word is the destination of the word “related”. A “child” is a word related to the word. For example, “Hanako bought a red bag” has “Red” as a child and “Bought” as a parent. In other words, “red” is related to “鞄”, so “red” is a child for “鞄”. In addition, “buy” is related to “buy”, so “buy” is “parent” for “mochi”. In addition, “Bought” has “Maki” and “Hanako” as children. As a result, this syntax tree can be expressed as shown in Table 4.

  After finishing the word inclusion step S12 described above, the process proceeds to a noun phrase extraction step S13. In this noun phrase extraction step S13, morphological analysis and syntax analysis as described above may be used as necessary, and noun phrases are extracted from the character string. By the way, this noun phrase has a concept including only a noun. After completing the extraction of all nouns or noun phrases from the character string, the process proceeds to case component extraction step S14.

In this case component extraction step S14, a flag is set for the noun or noun phrase extracted in the noun phrase extraction step S13, which is not included in the case component. And the noun or noun phrase except the noun or noun phrase for which the flag is set is extracted as the case component. Finally, the total of the extracted case components is counted and displayed as the number of case components or stored.
Incidentally, in the present invention, any method may be used as long as a process for excluding the case component to be extracted is performed instead of setting a flag. That is, it is not essential to use a flag, and any method may be used as long as it can be selected from what is included in the case component to be extracted and what is excluded.

  Hereinafter, the target for which the flag is set in the case component extraction step S14 will be described.

  First, flags are set for all of the same words as the name of the invention extracted in the preprocessing step S11. Thereby, in this case component extraction step S14, the wording corresponding to the name of the invention can be excluded from the case components to be extracted.

  In the case component extraction step S14, when a wording identical to the name of the invention is replaced with a predetermined wording, a flag is set for the replaced predetermined wording.

  In case component extraction step S14, when A and B are nouns or noun phrases, respectively, if A and B are alternatively defined, a flag is set for one of A and B. You may make it stand. Here, the case where A and B are alternatively defined is a case where “A or B”, “A or B”, or the like is described, for example. In such a case, if A is a noun, flag A. If A is not a noun and B is a noun, a flag is set for B. Thereby, in this case component extraction step S14, any one of the nouns or noun phrases that are alternatively described can be excluded from the case components to be extracted.

  Further, in the case component extraction step S14, a flag may be set for a word composed of a noun and a parallel particle (either “ka” or “ya”). For example, in the case where “by rope or wire” is described, the combination of the noun and the parallel particle becomes “rope”. Flag this. Since the description of “by rope or wire” merely lists examples of tools necessary for connection, such as ropes and wires, one of the nouns or noun phrases should be extracted. It is supposed to be excluded from the ingredients.

  Among the noun phrases excluding the same noun phrase as the name of the invention, by setting this flag, the processing operation to be excluded from the case components to be extracted is the “case component number extraction basic” of the following (1) to (4). It may be based on a “rule”.

(1) Subject rule In the case component extraction step, if the extracted character string contains a relationship between the subject and the verb as a result of syntactic analysis, the sentence corresponding to the subject is If already described, a flag is set for the word corresponding to the subject. Then, if the word corresponding to the subject has not been described yet in the upper stage, processing is performed so that the word corresponding to the subject is not flagged. The following 1) to 3) are specific processing flows.

  1) First, the subject is first extracted through syntax analysis. "●●● is", "●●● is", "●●● is", "●●● is also", etc. are all regarded as the subject and extracted. (At this time, there is no relation to ●●● whether or not “previous”, “related” or “above” is attached)

  2) Sort and confirm whether the extracted subject (●●●) is listed before that. As a result, if there is an object that matches 100% with the extracted subject (●●●) or includes a part thereof, the process proceeds to 3). Other than that, since the extracted subject (●●●) has appeared for the first time, the extracted subject (●●●) is specified as a case component.

  3) When shifting to 3) in 2) above, the extracted subject (●●●) is flagged so that it is not counted as a case component.

  In other words, the extracted character string includes the relationship between the subject defined by any one of “to-ga”, “to-ha”, “to-to”, and “to-mo” and the verb depending on this subject. First, it is determined whether or not there is. As a result, when the extracted character string includes a relationship between the subject and the verb, it is confirmed whether or not the wording corresponding to the subject has already been described in the upper stage. If the word corresponding to the subject has already been described in the upper row, the word corresponding to the subject is excluded from the case components to be extracted, and the word corresponding to the subject is still written in the upper row. If not, since it has newly appeared, the word corresponding to the subject is included in the case component to be extracted.

  As a result, in the description of the claims having many subjects, it is possible to eliminate the unreasonable fact that the case components increase as the number of subjects increases.

(2) Double-defined rule If the invention-specific matters already defined in the previous stage or the processing operations defined in the previous stage are counted again in the subsequent stage, double counting will occur. For this reason, it is not counted in the subsequent stage.

(2-1) “Registration by the registration unit” → If the registration unit has already completed the action of performing registration , the registration unit does not register but the registration unit registers .

Another example) “ Index entry that includes the key ” appears at the first time. → Include is a verb, and each case component is counted separately. Next, “ index entry including the key ” has appeared for the second time → Since it received the previous one, it is not counted separately, but it is a single component.

(2-2) “Imaging means for creating A and A created by the imaging means ”

As for “ A created by the imaging means” , when the number of case components is to be counted purely, the part “by the imaging means” has a morpheme “by”, The “imaging means” can be said to be the number of case components that can be counted independently. However, the proposition of creating A by the imaging means has already been realized in the previous stage. For this reason, if the “imaging means” is counted again here, the proposition of creating A is realized again, so that the proposition is realized twice. Since it deviates from the purpose of the number of case components as a parameter in accordance with the feasibility of the proposition, here, the word “created by the imaging means ” is combined with “A” to obtain the number of case components To do.

(2-3) “ Number of printed sheets calculating means for calculating the number of printed sheets and the number of printed sheets calculated by the number of printed sheets calculating means”

As for “the number of printed sheets calculated by the above-mentioned number of printed sheets calculating means” , when the number of case components is to be counted purely, the part “by the number of printed sheet calculating means” has a morpheme “by”. Therefore, it can be said that “the number of printed sheets calculation means” is the number of case components that can be counted independently. However, the proposition of calculating the number of printed sheets by the printed number calculating means has already been realized in the previous stage. For this reason, if “the number of printed sheets calculation means” is counted again here, the proposition of calculating the number of printed sheets is realized again, so that the proposition is realized twice. Become. Since it deviates from the purpose of the number of case components as a parameter according to the feasibility of the proposition, here, the term “calculated by the above-mentioned number-of-print-number calculating means” is combined with “number of printed sheets” to obtain one case component It is a number.

  For those not counted as case components in (2-1) to (2-3), a process of setting a flag is performed.

  Further, this double definition rule may be based on the following processing operation. First, the subject on which the verb is involved is identified, and then the case component that satisfies the operation condition of the verb is extracted.

For example, in the case of the following sentence, “subject to which the verb depends”, “verb”, and “case component” are specified as follows.
“Rotation angle signal detecting means for detecting a rotation angle signal output from the output shaft of the internal combustion engine”

  Make a list like this one by one. It is not essential to create a list, and a pair of “subject subject to verb”, “verb”, and “case component” may be stored.

  It is assumed that, for example, the phrase “based on the rotation angle signal detected by the rotation angle signal detection means” is defined in the subsequent stage.

  The following logic is used to determine whether or not the “rotation angle signal detecting means” that depends on the verb “detected” is counted as a case component.

  The pair of “the rotation angle signal detecting means” and “detected (performed)” coincides with the previously stored pair. For this reason, this is not counted because it is a proposition already executed.

Since “~ rotation angle signal to be detected” does not depend on the verb “detected” (reversely modified by the verb), the case component is related to the verb “detected” in the first place. It is not necessary to determine whether or not, and it is counted as a case component.

  In this way, a pair of “subject to which the verb is dependent”, “verb”, and “case component” are stored, and for the “verb”, these “subject to which the verb is dependent”, “case” If a component that depends on the component comes out later, it is not counted as a double definition.

Example 1 Claim 1 of p2000-196550
“In a vehicle equipped with an internal combustion engine as a drive source, vehicle speed detection means for detecting the vehicle speed of the vehicle, braking operation detection means for detecting the state of an operation input to the braking device of the vehicle operated by the driver, Exhaust gas recirculation means for recirculating part of the exhaust gas from the exhaust path into the intake pipe, and when the vehicle is found to be stopped based on the vehicle speed detected by the vehicle speed detection means, And a control means for reducing the amount of exhaust gas recirculated by the exhaust gas recirculation means when the braking operation detection means detects the release of the operation input in the stopped state. Control device for internal combustion engine for vehicle. "
In this case, the following list can be created.

  For example, “based on the vehicle speed detected by the vehicle speed detecting means” of 6 is already executed in 2 because “by the vehicle speed detecting means” is related to the verb “detected”. It is not counted as a case component.

  No. 8 “recirculate exhaust gas into the intake pipe by the exhaust gas recirculation means” has already been realized in 5 because of the verb relationship “by the exhaust gas recirculation means” and “in the intake pipe” “recirculate”. The “exhaust gas” that is not counted is counted as a first-order component because it has come out for the first time because of the verb “recirculate”.

  Thus, checking whether or not it has already been executed is not limited to focusing only on the “verb” and “subject subject”, but on the “verb” and “case component” pair. Also pay attention.

  9 “Release of the operation input is detected by the braking operation detection means”, “by the braking operation detection means” and “detected” satisfy the condition of 4 and are not counted. Canceling operation input appears for the first time. (The release of the operation input) is counted as a case component.

  The point is that when referencing the list during this extraction process, it should be taken into account that active and passive changes can be made to the verbs described in the list.

Example 2 Claim 1 of P2000-258811
“In a printer control apparatus for controlling a plurality of types of printers each having a different resolution, an image selection means for selecting an image to be printed from a plurality of images, the number of pixels of the image selected by the image selection means, and the above Based on the resolution, printer determination means for determining a printer to be used from among the plurality of types of printers, and image data representing the image selected by the image selection means to the printer determined by the printer determination means A printer control device having transmission means for transmitting the

  In this case, the following list can be created.

  The “number of pixels of the image selected by the image selection means” of 4 is already executed because there is a pair of “the image selection means” for the verb “select”.

  Similarly, “to the printer determined by the printer determination unit” of 6 is already executed because there is a pair “by the printer determination unit” for the verb “determined”.

  In addition, “the image selected by the image selection unit” of 7 is already executed because there is a pair “image selection unit” for the verb “select”.

  What has already been executed is not counted as a case component.

  That is, in this double definition rule, after all, based on the following algorithm, it is determined whether to include or exclude from case components to be extracted.

(2-4) Step 1
Based on the verb, the case component that depends on this and the subject that the verb depends on are specified. Next, it is checked whether or not there is the same verb (even if there is a difference between active and passive) in the upper row. As a result, if there is no identical verb in the upper row, no double definition check is performed. On the other hand, when there is the same verb in the upper stage, the process proceeds to the following step 2.

  (2-5) Step 2

  For each verb, the identity of the subject and case component to which the verb depends is determined. The above is between the “subject to which the verb depends” and “case component” related to the same verb (number 5) that appears first, and the case component related to the same verb (number 8) that appears later. It is an example which determines identity.

  (2-6) Step 3

  If there is the same thing between the “subject subject to the verb” and the “case component” for the same verb that appears first, and the case component for the same verb that appears later, The case component of the same verb that comes from is not considered a case component (because the proposition has already been executed in the upper row). Those that are not actually regarded as case components are identified by setting a flag.

  The above processing operation is similarly performed for all other verbs.

  In other words, the algorithm picks up verbs sequentially. Check if the picked-up verb has already appeared before. If it appears, the identity is determined between the “subject subject to the verb” and the “case component” relating to the same verb appearing first and the case component relating to the same verb appearing later. As a result of the determination, if the same thing appears, the case component of the same verb that comes out later is not regarded as the case component.

  At this time, it may be realized through the following steps.

  An identification step of sequentially extracting verbs and identifying whether the extracted verbs are already defined in the upper stage. As a result of identification in the identification process, when it is identified that the extracted verb has already been defined in the upper stage, the noun or noun phrase that depends on the verb already defined in the upper stage, and the upper stage A specifying step of specifying a noun or a noun phrase indicating a subject on which a verb already defined in (2) depends. An identity determination step of determining identity between the noun or noun phrase specified in the specifying step and the noun or noun phrase that depends on the extracted verb. Of the nouns or noun phrases that depend on the extracted verb, those that are determined to be the same in the identity determination step are excluded from the case components to be extracted by setting a flag.

  In the identification step, words composed of a plurality of nouns or noun phrases connected by morphemes may be sequentially extracted to identify whether the extracted words are already defined in the upper stage. Then, in the exclusion processing step, when the extracted wording is identified as a result of the identification in the identification step, the extracted wording is excluded from the case components to be extracted. A flag may be set to

For example, when “ when connected to the multi-control unit ...”, The underlined portion is extracted as a case component for the first time. Further, in the same claim, if the same wording appears after the second time, " When connected to the multi-control unit ...", after the second time, these are collectively 1 to avoid double counting. The processing operation is performed so as not to extract the case components as case components.

  That is, “noun or noun phrase” + “morpheme” + “noun or noun phrase” is also checked for double definition.

(3) Case component exclusion of method invention (3-1) Product invention pattern Exactly the same invention is defined by a writing method and a requirement enumeration method as follows.
・ Writing method " ~ B is arranged in ~ A ,
C consisting of this B are connected,
Device characterized in that D is attached to C above "
= 7 case components

・ Requirement enumeration method
~ B arranged in A above ;
Connected to said B, a C consisting of,
A device characterized by comprising D attached to C above "
Number of 4th grade components (8th grade components with components)

  When the constituent elements are not counted as in the requirement enumeration method, the number of underlined case components is the number of conditions necessary for realizing the proposition to be realized by each constituent element. In the writing system, the number of case components underlined is the number of conditions necessary for the proposition to be realized with the title (device) of the invention.

  Even in the requirement enumeration method, the proposition realization target of the number of case components to be obtained is not a component but ultimately a device. That is, in the requirement enumeration method, the device includes A, B, C, and D. Then, it can be considered that each of A, B, C, and D realizes each proposition. When it is defined that “a device includes A, B, C, and D”, the conditions necessary for realizing the proposition that A, B, C, and D are “provided” by the subject “device” are as follows. Therefore, it becomes a case component.

  For this reason, even if it is a requirement enumeration method and each component is counted as a case component, it is logically consistent. In addition, the disparity due to the difference between the requirement enumeration method and the writing method can be eliminated.

(3-2) Pattern / requirement enumeration system of method invention
B step of adding P to O produced by the above A step ;
C process of heating Q obtained in the B process with R ;
And a D step of extracting heated S in the C step.
Underlined part: 8 Number of steps: 4 Total 12
・ Writing system “ P is added to O manufactured by the A process ,
Q obtained in the above step B is heated with R ,
A method characterized by extracting S heated in the above-mentioned step C "
Underlined part: 8 Number of steps: 0 Total 8

  The constituent elements (steps A to D) are merely names, and are not particularly limited to the matters specifying the invention. If the component is put into the case component, the difference between the methods will be conspicuous.

  From the above-described examination, components (processes or steps) appearing in the method invention may not be included in the case components. Moreover, you may make it count by including the component which comes out in the invention of a thing in a case component.

  Here, as a specific process for excluding components (processes and steps) appearing in the invention of the method from the case components, the wording considered as the name of the invention in the preprocessing step S11 includes “method”. "~ Step and (O)", "~ Step and (O)", "~ Process and (O)", "Function and (O)", "~ Process and (O)", "~ Extract processing and ()) and flag them. Thereby, in the invention of the method, it is possible to perform processing so that these steps and the like are not included in the case components. Alternatively, as an alternative to the above “and ()”, if “,” is hit, a flag may be set. Alternatively, “,” + “step / stage / process / function / process / process” + “as” may be extracted and flagged.

(4) Other Case Component Extraction Rules In this case component extraction step S14, a flag may be set for “any” or “any” extracted as a noun. Next, when there are a plurality of words that are directly related to “any” or “any”, the preceding noun phrase is excluded from the case components to be extracted. That is, when it is described as “A member or B member”, the noun phrase depending on any of them is “A member, B member”, of which the preceding A member is Flag to exclude from case components to be extracted. Since “any” or “any” is flagged, only “B member” is extracted as the case component in this example. However, the total number of case components is 1, and accurate writing component extraction is realized.
In addition, the process of setting a flag every time the preceding word is a noun or a noun phrase is directly performed on “any” or “any” and thereafter.

  Further, in this case component extraction step S14, a noun phrase including a noun + “target / free / possible / impossible / impossible / you” + (“na”, “ni”, “no”, “to”), or these A flag may be set for a sentence in which hiragana is added to the noun phrase.

  For example, by setting a flag for a noun phrase or wording such as “retractable”, “fitable”, “non-slidable”, etc., it can be processed so that these are not extracted as case components. .

  In the case component extraction step S14, when a word composed of “noun or noun phrase” + “A” + “noun or noun phrase” is extracted, A = “up to”, “to”, “to”, In either case of “de” or “ya”, individual “nouns or noun phrases” separated by “A” are extracted separately as case components. Further, when A = “out”, each “noun or noun phrase” separated by “A” is extracted as one case component. When processing is performed with a flag set, a flag may be set for nouns or noun phrases positioned before and after A. As a result, for example, when there are words such as “consistency with the authentication card” and “distance to the user interface”, these can be extracted substantially as one case component.

  In the case component extraction step S14, a pronoun consisting of any one of “this”, “it”, “that”, “which”, “here”, “there”, “that”, “where” should be extracted. It may be included in the case component. That is, these pronouns may be processed so as not to set a flag. This is because even if they are pronouns, they function as case components as described above, and should be included in case components. Thereby, case component extraction with high accuracy is possible.

  On the other hand, adverbs (“Kou”, “So”, “Oh”, “How”) and conjunctions (“Kon”, “That”, “That”, “Which”) are extracted. You may make it exclude from the case component which should be.

In the case component extraction step S14, the noun form of the verb in which the verb is connected to “koto” may be extracted as the case component. That is, the words displayed as “verb” + “that” are extracted as one case component only by this. For example, “to be operated” → “operated” is a verb, but “that” constitutes a noun phrase. Noun phrases become case components. “Elapsed” is a noun form and is counted. In other words, the noun form of the verb that connects the verb to “Koto” is extracted as a case component.
In this way, it is determined whether or not the case component to be extracted is included in the above-described predetermined rule, and processing for extracting a component that conforms to the predetermined rule as the case component is performed. .

Implementation Method of the Present Invention In implementing the present invention, a personal computer (PC) is used and is performed based on a program loaded therein.

  First, a character string described in a specific column (description of claims) in a patent specification converted into electronic data is extracted from the description of the patent specification converted into electronic data. The specific column corresponds to one claim in the scope of claims. At this time, character strings may be extracted only for independent claims (for example, claim 1).

  Next, a case component is extracted from the extracted character string based on the above-described rules. The number of case components may be obtained based on the extracted case components. The number of case components means the number of case components in one claim. In the case of a main claim, the number of case components may be counted as it is from the character string extracted from the claim in which the main claim is defined. In the case of a sub claim, the claim in which the sub claim is defined. The number of case components is counted as it is from the character string extracted from, and the number of case components of the main claim on which the subclaim is dependent is added to this.

  Then, the counted number of case components is displayed, for example, via a display or the like as the degree of limitation of the invention.

  At this time, the case component may be extracted using a morpheme as shown in Table 1 as a mark. Incidentally, Table 1 here is merely an example, and it is needless to say that counting may be performed based on any other morpheme.

  The case component may be extracted based on the case component extraction process described above.

  At this time, the above-mentioned count extracts words that define overlapping actions in the extracted character string, counts the number of duplicate case components included in the extracted word, and counts the total number of case components counted You may make it display the value which subtracted the number of case components of duplication as a limitation degree of invention. This takes into account the double count described above.

  In the present invention, a character string described in a specific column in the patent specification before correction is extracted, and further a character string described in a specific column in the corrected patent specification is extracted and corrected. The total number of components is counted from the character string extracted from the previous patent specification and the character string extracted from the corrected patent specification, respectively. Alternatively, the difference from the total number of components of the corrected patent specification may be obtained and displayed as the correction degree as described above in the claims.

  Further, the present invention may be embodied as a device such as a PC on which the above-described analysis program is installed, or a program for causing a PC to execute the program or a recording medium on which the program is recorded. It may be embodied.

  Further, the present invention may be applied to a network system. First, on the server side, data obtained by previously digitizing the number of case components for the patent specification is stored in the server. When the client side requests the number of case components for a desired patent, the number of case components of the patent may be read from the server and sent to the client side via the network.

  In addition, when the number of case components has not yet been obtained for the patent requested for transmission from the client side, the server counts the number of case components for the requested patent and sends this to the client side via the network. You may make it send.

  For extraction of case components, any existing text mining technology, data mining technology, language analysis processing technology, or the like may be used. Then, using these techniques, it is determined whether or not each character string to be analyzed corresponds to a case component based on the above-described rules, and finally case components for one claim are specified. Then, the total number of the specified case components for one claim is obtained, and this is output as the number of case components of the claim.

  In the present invention, not only the number of case components for each claim but also the output data may be added to any information such as a patent map, a graph, and other evaluation values.

Incidentally, an evaluation value based on the following calculation formula may be obtained as an alternative to the number of case components described above, and this may be output or stored.
Evaluation value = {α-log (CN + β)} × γ
Where α = 3-8
β = 15-25
γ = 15-40
Here, the above formula was derived by fitting based on the relationship between the number of case components and the patent assessment rate. The larger the evaluation value, the smaller the number of case components and the wider the technical range. It is a patent evaluation value as Technology Size.
The evaluation value (Technology Size) can be used in patent value evaluation and macro analysis. It can also be used as a comprehensive score in combination with other index values such as the number of citations and the number of requests for browsing.
The evaluation value is calculated in the case component extraction step S14. That is, as an alternative to the number of case components described above, processing such as output, display, and transmission of the evaluation value may be performed.

  In the present invention, the case component specified for each claim may be displayed on a screen, printed, or converted into data. That is, as shown in the following embodiments, underline and highlight display may be performed so that the case components specified for the claims can be visually grasped.

  As described above, according to the present invention, it is possible to display and display in accordance with similar rules in any claims. At this time, the number of case components may be written at the same time.

  Note that the present invention is not limited to the case component extraction described in the claims of the patent specification, and is applicable to the case component extraction for any other document based on the same method. be able to.

  Of course, the present invention is not limited to Japanese but can be applied to other languages including English.

Claims (16)

Extract a character string from the description of the claims in the patent specification converted into electronic data, and the wording up to the end of the sentence following “characterized by” in the above character string, or reverse from the end of the sentence in the character string A pre-processing step of extracting the wording until a word other than a punctuation mark or noun appears in the direction as the name of the invention ,
By performing morphological analysis and syntactic analysis on the character string processed in the above preprocessing step, the character string is decomposed into words, and then noun + noun / noun + “no” + noun / noun + “out of” + noun・ Noun + “Target / Free / Possible” ・ Noun + “To” ・ Noun + “By” ・ At least ”+ Quantity expression ・ Noun +“ Yes ” Or “the above”, “above”, “this”, “this”, “combined” as one word with the following word, or noun + “no” + “adjective” + noun / noun + “ Include, related to, related to, become, become, become ,,,,,,,,,,,,,,,,,,,, etc. Steps,
A noun phrase extraction step for extracting a noun phrase from the character string including the word that has undergone the word inclusion step;
In the noun phrase extraction step, a case component extraction step of extracting at least a noun phrase excluding the same noun phrase as the name of the invention from the extracted noun phrases as a case component is executed. Case component extraction program. In the preprocessing step, for the character string, the same wording as the name of the invention is replaced with a predetermined wording,
2. The case component extraction program according to claim 1, wherein the case component extraction step causes the computer to execute excluding the replaced predetermined word from case components to be extracted. In the case component extraction step, if A and B are defined as noun phrases, and A and B are alternatively defined, either A or B is excluded from the case components to be extracted. The case component extraction program according to claim 1 or 2, wherein the computer is made to execute. 2. The case component extraction step, wherein the computer is caused to exclude a word composed of a noun and a parallel particle (“ka” or “ya”) from case components to be extracted. The case component extraction program according to any one of? In the case component extraction step, a subject defined by any one of “to-ga”, “to-ha”, “to-to”, and “to-mo” in the extracted character string, and a verb that depends on the subject are defined. If the word corresponding to the subject has already been described in the upper row, the word corresponding to the subject is excluded from the case components to be extracted, and the subject If the corresponding wording is not yet described in the upper stage, the computer is caused to perform processing so that the wording corresponding to the subject is included in the case component to be extracted. 4. The case component extraction program according to any one of four. The case component extraction step includes:
An identification step of sequentially extracting verbs and identifying whether the extracted verbs are listed in the upper part thereof;
As a result of identification in the identification step, if it is identified that the extracted verb has already been described in the upper stage, the noun phrase that depends on the identified verb is already described in the upper stage. A specific step of identifying a noun phrase indicating the subject on which the verb depends;
An identity determination step of determining identity between the noun phrase identified in the identifying step and a noun phrase that depends on the extracted verb;
Of the noun phrases that depend on the extracted verbs, those that are determined to be the same in the identity determination step have an exclusion step that excludes them from the case components to be extracted. The case component extraction program according to any one of claims 1 to 5. In the case component extraction step, if the wording considered as the name of the invention in the preprocessing step includes “method”, “to step and ()”, “to stage and ()”, “to process” (")", "Function and (O)", "~ Process and (O)", "~ Process and (O)" are extracted and excluded from the case components to be extracted , or "," 7. The method according to claim 1, further comprising: causing the computer to extract + “step / stage / process / function / process / process” + “as” and exclude it from the case component to be extracted. The case component extraction program according to any one of the preceding claims. In the case component extraction step, “any” or “any” extracted as a noun is excluded from the case components to be extracted, and there are a plurality of words directly depending on the “any” or “any”. The case component extraction program according to any one of claims 1 to 7, wherein if present, the computer is executed to exclude a preceding noun phrase from case components to be extracted. In the case component extraction step, a noun phrase including a noun + “target / free / possible / impossible / impossible / you” + (“na”, “ni”, “no”, “to”), or these noun phrases The case component extraction program according to any one of claims 1 to 8, which causes a computer to execute a process of excluding a word added with hiragana from a case component to be extracted. In the case component extraction step, the number of extracted case components is counted and output or stored, or the number of case components (hereinafter referred to as CN) is output or stored as an evaluation value based on the following calculation formula. The case component extraction program according to claim 1, wherein the computer is executed by a computer.
Evaluation value = {α-log (CN + β)} × γ
Where α = 3-8
β = 15-25
γ = 15-40 In the case component extraction step, when a word composed of “noun or noun phrase” + “A” + “noun or noun phrase” is extracted, A = “up to”, “to”, “to”, In the case of either “de” or “ya”, the computer is caused to separately extract individual “nouns or noun phrases” separated by “A” as case components. The case component extraction program of any one of Claims 1-10. In the case component extraction step, the case component to extract a pronoun consisting of “this”, “it”, “that”, “which”, “here”, “there”, “that”, “where” The case component extraction program according to any one of claims 1 to 11, which causes a computer to execute the inclusion. 13. The case component extracting step according to any one of claims 1 to 12, wherein a computer is executed to extract a noun form of a verb as a case component in which the verb is connected to "ko". Case component extraction program. 14. The case according to any one of claims 1 to 13, wherein said word inclusion step causes the computer to execute "abbreviation", "slightly", "sequential" + noun as one word. Component extraction program.   In the case component extraction step, at least a noun phrase excluding “characteristic” in “characteristic” in the character string from the character string is extracted as a case component.
  The case component extraction program according to any one of claims 1 to 14, wherein the case component is executed by a computer. Case component extraction means for extracting a case component by the case component extraction program according to any one of claims 1 to 15,
A server for storing rank component extracting means thus obtained figure data, any one or more of the number of rating components,
A case component information transmission system comprising: a transmission unit that reads out the number of case components of a patent requested from a client side from the server and transmits the number to a client side via a network.