JP2008305105A - Document data processor - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To efficiently support confirmation of validity of numerical information in document data. <P>SOLUTION: An important expression extraction part 16 of this document data processor 1 reads an important expression extraction/message production rule dictionary from a dictionary information storage part 13 of a storage device 12, and extracts important expression based on conformity expression with an extraction pattern inside an input sentence when an extraction pattern of the dictionary and the input sentence conform. A certainty factor calculation part 17 calculates a certainty factor showing a reliable degree of contents of an important expression extraction processing result as the important expression inside the input sentence. A message production part 18 refers to a message for presenting the already extracted important expression to a user from the important expression extraction/message production rule dictionary. The message production part 18 substitutes the already extracted important expression for a variable portion of the message performed with the reference, prepares a sentence of the message for presenting the important expression to the user, and determines emphasis color of the message based on the already calculated certainty factor. <P>COPYRIGHT: (C)2009,JPO&INPIT

Description

  The present invention relates to a document data processing apparatus for supporting proofreading of numerical information in document data.

Conventionally, as a technique that can be used for supporting calibration of numerical values in document data, there has been a technique for extracting numerical information in the document data (see, for example, Patent Document 1). In this method, numerical information is extracted from sentence data, and a sentence is subjected to dependency analysis, information related to the extracted numerical information is acquired, and numerical information and an object represented by the numerical information are acquired.
JP 2005-157853 A

  However, in order to confirm the validity of the numerical information in the document data, it is not sufficient to extract the numerical information from the text data, and the user discovers the description of the numerical information from the text data. It is necessary to find a description that expresses what the numerical information means. However, this operation is not easy for the user and requires a lot of labor.

  Accordingly, an object of the present invention is to provide a document data processing apparatus that can efficiently support the confirmation of the validity of numerical information in document data.

  That is, the document data processing apparatus according to the present invention stores rule information for extracting important information from input document data and rule information for calculating a certainty factor indicating reliability of the extracted important information. Based on the rule information, important information is extracted from the input document data, and based on the rule information, a certainty factor indicating the reliability of the extracted important information is calculated. About the extracted important information and the important information A message for confirming important information is created based on the calculated certainty factor.

  According to the present invention, since it is possible to efficiently support the confirmation of the validity of numerical information in document data, the efficiency of document creation is improved and the creation of a high-quality document can be supported.

Embodiments of the present invention will be described below with reference to the drawings.
(First embodiment)
First, a first embodiment of the present invention will be described.
FIG. 1 is a block diagram showing a configuration example of a document data processing apparatus according to the first embodiment of the present invention.
As shown in FIG. 1, the document data processing apparatus 1 according to the first embodiment of the present invention includes a control unit 11 that controls the processing operation of the entire apparatus, a storage device 12 that is a storage unit, an input / output interface 15, and an extraction. An important expression extraction unit 16 as a means, a certainty factor calculation unit 17 as a calculation means, and a message creation unit 18 as a creation means are provided, and they are connected to each other via a bus 19.

The storage device 12 is a storage medium configured by hardware such as a hard disk drive or a nonvolatile memory device. The storage device 12 stores a control program to be executed by the control unit 11, the important expression extraction unit 16, the certainty factor calculation unit 17, and the message creation unit 18. Further, it has a dictionary information storage unit 13 for storing an important expression extraction / message creation rule dictionary as rule information, and a color correspondence information storage unit 14 for storing color / certainty degree correspondence information. The important expression extraction / message creation rule dictionary and the color / certainty correspondence information will be described later.
The storage device 12 also functions as a work memory for various processes performed by the control unit 11, the important expression extraction unit 16, the certainty factor calculation unit 17, and the message creation unit 18.

The important expression extraction unit 16 extracts an important expression in the input document data while referring to the important expression extraction / message creation rule dictionary stored in the dictionary information storage unit 13 of the storage device 12, and the extracted result is stored in the storage device 12. To remember.
The certainty factor calculation unit 17 calculates a certainty factor indicating how reliable the content of the important expression extracted by the important expression extraction unit 16 is, and stores the calculation result in the storage device 12.
The message creation unit 18 uses the important expression extracted by the important expression extraction unit 16 and confirms the important expression to the user while referring to the important expression extraction / message creation rule dictionary stored in the dictionary information storage unit 13. Create a message.

FIG. 2 is a block diagram showing a configuration example of the terminal device according to the first embodiment of the present invention.
The terminal device 2 is a device handled by a user who creates and reviews document data. As shown in FIG. 2, the terminal device 2 includes a control unit 21 that controls processing of the entire device, a storage device 22, an input device 23, an output device 24, and a communication interface 25, which are connected to each other via a bus 26. Is done.

The storage device 22 is a storage medium configured by hardware such as a hard disk drive or a nonvolatile memory device. The storage device 22 stores a control program to be executed by the control unit 21 and also functions as a work memory for various processes performed by the control unit 21.
The input device 23 is a keyboard or a mouse, for example, and accepts an operation related to creation of new document data. The output device 24 is, for example, a liquid crystal display, and displays a document created and reviewed by the user.

The communication interface 25 is communicably connected to the input / output interface 15 of the document data processing device 1 via a cable or the like, and exchanges document data created in the terminal device 2 and processing results of the document data processing device 1. .
The communication interface 25 can be communicably connected to an external storage device (not shown) via a cable, and can also input / output document data to / from the external storage device.

FIG. 3 is a table showing an example of an important expression extraction / message creation rule dictionary stored in the storage device of the document data processing device according to the first embodiment of the present invention.
As shown in FIG. 3, in the important expression extraction / message creation rule dictionary stored in the dictionary information storage unit 13 of the storage device 12, important expression extraction patterns and messages are managed in association with each other. Here, the extraction pattern describes a combination of each important expression to be extracted with a regular expression. Also, a message for confirming an important expression is created using each important expression extracted according to the extraction pattern and a message associated with this expression in the important expression extraction / message creation rule dictionary. Presented to.

Note that “. ^* ?” In the extraction pattern of the important expression extraction / message creation rule dictionary shown in FIG. 3 means zero or more characters such as characters and symbols. Further, “$ 1” and “$ 2” which are variable parts in the message of the important expression extraction / message creation rule dictionary shown in FIG. 3 are associated with the message in the important expression extraction / message creation rule dictionary. This is a part for referring to the part enclosed in parentheses in the extraction pattern in the order of description of the enclosed part.

The extraction pattern in the first line of the important expression extraction / message creation rule dictionary shown in FIG. 3 is “(CO2 emission). ^* ? ([0-9.,] + Ton)”. This pattern includes a “CO2 emission amount”, followed by some zero or more characters, and includes a word indicating an amount whose unit is tons next to the character.
The extraction pattern in the second line is “(CO2 emissions). *? (US | Australia | Canada). ^* ? ([0-9.,] + Tons)”. This pattern includes “CO2 emissions”, followed by any zero or more characters, followed by any of “US”, “Australia” and “Canada”, followed by units Is a pattern containing a word indicating the amount of tons.
The extraction pattern in the third row is “(US | Australia | Canada). ^* ? ([0-9.,] + Ton)”. This pattern includes any of “US”, “Australia”, and “Canada”, followed by some zero or more characters, followed by a word that contains a word indicating the amount in tons. is there.

FIG. 4 is a table showing an example of color / confidence information stored in the storage device of the document data processing device according to the first embodiment of the present invention.
As shown in FIG. 4, in the color / confidence information stored in the color correspondence information storage unit 14 of the storage device 12, a number indicating the degree of certainty is associated with color information unique to the certainty. Managed.

  Next, operations of the document data processing apparatus 1 having the configuration shown in FIG. 1 and the terminal apparatus 2 shown in FIG. 2 will be described. FIG. 5 is a flowchart showing an example of the processing operation of the document data processing apparatus according to the first embodiment of the present invention. FIG. 6 is a diagram showing an example of extraction of important expressions to be processed by the document data processing apparatus according to the first embodiment of the present invention.

  First, when document data is input by an operation on the input device 23 of the terminal device 2 (step S1), the control unit 21 stores the document data in the storage device 22. Here, as shown in FIG. 6, the input document data is as follows: “The CO2 emissions per capita is the highest in the United States at 19.8 tons, and Australia and Canada each have 18.0 tons. Tons, followed by 14.2 tons. "

  When an input operation related to a request for checking an important expression in input document data is performed on the input device 23, the control unit 21 receives the document data stored in the storage device 22 via the communication interface 25. Output to 1. This document data consists of text information and position information. Position information is a sentence, paragraph, or page index.

  When the input / output interface 15 of the document data processing apparatus 1 inputs text information and position information from the terminal device 2, the important expression extraction unit 16 reads important information in the input document data based on the input text information and position information. In order to extract the expression, the important expression extraction / message creation rule dictionary is read from the dictionary information storage unit 13 of the storage device 12, and one line of the extraction pattern of the dictionary is referred to (step S2), and the input document data and the extraction are extracted. The pattern is compared to determine whether or not the input sentence matches the extracted pattern (step S3).

  As shown in FIG. 6, when the input document data is “CO2 emission amount per population is...”, The important expression extraction unit 16 extracts the input document data and the important expression shown in FIG.・ By collation with the message creation rule dictionary, the input document data includes “CO2 emissions”, followed by “In the developed country”, followed by “ "US" is included, "ga" is included following this expression, and "19.8 tons" is included following this expression. Therefore, the input expression data shown in FIG. It is determined that it matches the extracted pattern in the second line of the rule dictionary.

  In addition, the important expression extraction unit 16 includes “CO2 emissions” in the input document data shown in FIG. 6. Following this expression, “the United States is the most developed country with 19.8 tons. Is included, followed by "Australia", followed by ", Canada, respectively", followed by "18.0 tons" Therefore, it is determined that the input document data matches the extraction pattern in the second row of the important expression extraction / message creation rule dictionary shown in FIG.

  In addition, the important expression extraction unit 16 includes “CO2 emissions” in the input document data shown in FIG. 6. Following this expression, “the United States is the most developed country with 19.8 tons. "Australia," is included, followed by "Canada", followed by "18.0 tons," respectively, followed by "14.2 tons" ”Is included, it is determined that the input document data matches the extraction pattern in the second row of the important expression extraction / message creation rule dictionary shown in FIG.

If the input sentence and the extraction pattern to be matched do not match (NO in step S3), the important expression extraction unit 16 refers to the extraction pattern in the next line of the important expression extraction / message creation rule dictionary, The processing after S2 is performed again. Here, it is assumed that the input sentence matches the extraction pattern of any line of the important expression extraction / message creation rule dictionary.
When the input sentence and the extraction pattern match (YES in step S3), the important expression extraction unit 16 extracts the important expression based on the matching expression with the extraction pattern in the input sentence (step S4).

  For example, the important expression extraction unit 16 extracts among the expressions in the input sentence shown in FIG. 6 among the compatible expressions with each element of the extraction pattern of the important expression extraction / message creation rule dictionary shown in FIG. Based on the expression enclosed in parentheses in the pattern, as shown in FIG. 6, “CO2 emissions US 19.8 tons” is extracted as the first pattern of the important expression extraction process result, and the important expression extraction process result "CO2 emission amount Australia 18.0 tons" is extracted as the second pattern of ", and" CO2 emission amount Canada 14.2 tons "is extracted as the third pattern of the important expression extraction processing result.

  The important expression extraction unit 16 performs the process of step S2 when the extraction of the important expression accompanying the collation between the end of the input sentence and the important expression extraction / message creation rule dictionary is not completed (NO in step S5). Return.

  When the important expression extraction unit 16 completes the extraction of the important expression accompanying the collation with the important expression extraction / message creation rule dictionary until the end of the input sentence (YES in step S5), the certainty factor calculation unit 17 For each pattern of the important expression extraction processing result extracted by the expression extraction unit 16, a certainty factor indicating how reliable the contents of the important expression belonging to this pattern as the important expression in the input document data is calculated (step S6). . Here, the greater the certainty value, the higher the reliability.

Specifically, the certainty factor calculation unit 17 calculates the certainty factor based on the number of important expressions included in the extracted pattern. Here, when the number of important expressions included in the extracted pattern is N, the certainty factor is N-1.
That is, as shown in FIG. 6, the extracted pattern is “CO2 emissions US 19.8 tons”, “CO2 emissions Australia 18.0 tons”, “CO2 emissions Canada 14.2”. In the case of “Ton”, since there are three important expressions included in this pattern, the certainty factor is “2”. The certainty factor calculation unit 17 stores the certainty factor information thus calculated in the storage device 12 together with the corresponding important expression pattern.

Next, the message creating unit 18 uses the important expression extracted by the important expression extracting unit 16 and the certainty factor calculated by the certainty factor calculating unit 17, a message for presenting an important expression to the user, that is, an important expression. Create a confirmation message to the user of the expression.
FIG. 7 is a diagram showing an example of creating a message to be processed by the document data processing apparatus according to the first embodiment of the present invention.
Specifically, the message creation unit 18 selects one of the extracted patterns of the important expression extraction processing result, and among the extraction patterns of the important expression extraction / message creation rule dictionary stored in the storage device 12, Reference is made to a message associated with the extracted pattern adapted in extracting the selected important expression pattern in the important expression extraction / message creation rule dictionary (step S7).

For example, if the extracted pattern is “CO2 emission US 19.8 tons” as described above, the extraction that matches in the important expression extraction / message creation rule dictionary shown in FIG. Since the pattern is “(CO2 emissions). *? (US | Australia | Canada). ^* ? ([0-9.,] + Ton)” on the second line, the message referenced is the second line "Is $ 1 for $ 2 correct with $ 3?"
Then, the message creating unit 18 substitutes the extracted important expression into $ 1 and $ 2 which are the variable parts of the referenced message (step S8), and creates a message word for presenting the important expression to the user. .

As described above, when the extracted pattern is “CO2 emission US 19.8 tons” and the referenced message is “is $ 1 of $ 2 correct with $ 3?” The important expression assigned to “1” is the first expression “CO2 emissions” in the extracted pattern, and the important expression assigned to “$ 2” is the second expression “US” in the extracted pattern. The important expression assigned to “$ 3” is the third expression “19.8 tons” in the extracted pattern.
Therefore, the character string of the created message is “Are the US CO2 emissions 19.8 tons correct?”.

  Further, as described above, when the extracted second pattern is “CO2 emission amount Australia 18.0 tons”, the character string of the created message is “Australian CO2 emission amount is 18.0 tons”. If the extracted third pattern is “CO2 emissions Canada 14.2 tons” as described above, the string of the message created is “Canada CO2 emissions”. Is the amount correct at 14.2 tons? "

In addition, the message creation unit 18 refers to the color / confidence level correspondence information stored in the color correspondence information storage unit 14 of the storage device 12 based on the confidence level calculated by the confidence level calculation unit 17 for each message. Then, the highlight color of the message is determined (step S9).
If the extracted patterns are “CO2 emissions US 19.8 tons”, “CO2 emissions Australia 18.0 tons” and “CO2 emissions Canada 14.2 tons”, the certainty corresponding to these patterns is Both are “2”. The color code associated with the certainty factor “2” in the color / confidence factor correspondence information shown in FIG. 4 is “#DCDCDC”. Therefore, the created message is highlighted in the color corresponding to the code.
Instead of distinguishing the emphasized color of the message based on the certainty factor, the message creating unit 18 may distinguish the font size and the message text itself using the color / confidence correspondence information as another correspondence information.

The message creation unit 18 outputs the created colored message to the terminal device 2 via the input / output interface 15.
When the communication interface 25 of the terminal device 2 inputs a message output from the document data processing device 1, the control unit 21 stores this message in the storage device 22. The control unit 21 acquires the message stored in the storage device 22 and outputs it to the output device 24 together with the input document data stored in the storage device 22 (step S10).

FIG. 8 is a diagram illustrating an example of message output by the terminal device according to the first embodiment of the present invention.
The output device 24 displays the message by associating it with the corresponding character string in the input document data as shown in FIG.

As described above, in the document data processing apparatus according to the first embodiment of the present invention, important expressions in document data created by the user are automatically extracted, and the contents and extraction locations are presented to the user as confirmation messages. Therefore, the efficiency of the confirmation / correction work for the notation content, particularly the expression that the document creator has determined to be important, is improved, and the quality of the document is improved.
In addition, since the document data processing apparatus gives a change to the presentation form of the message using the certainty of the extracted important expression, the degree of attention of each message can be notified to the user. Therefore, the user can visually discriminate the message to be noted.

(Second Embodiment)
Next, a second embodiment of the present invention will be described. In addition, description of the same part as the thing shown in FIG. 1 among the structures of the document data processing apparatus 1 which concerns on each following embodiment is abbreviate | omitted.
FIG. 9 is a block diagram showing a configuration example of a document data processing apparatus according to the second embodiment of the present invention.
As shown in FIG. 9, the document data processing apparatus 1 according to the second embodiment of the present invention does not include the certainty factor calculation unit 17 as compared with the first embodiment, and includes a table information search unit. 31 and a verification processing unit 32 are connected to each other via the bus 19. The storage device 12 does not have the color correspondence information storage unit 14.

The table information search unit 31 acquires table information in the document data, searches for item information and limited information in the table information while referring to the extraction result by the important expression extraction unit 16, and stores the search result in the storage device 12. Remember. The item information is an expression corresponding to the subject of the confirmation message among the expressions in one pattern of the important expressions extracted by the important expression extracting unit 16. The limitation information is an expression related to limitation of numerical values in the pattern among the expressions in one pattern of the extracted important expression.
The collation processing unit 32 compares the extraction result by the important expression extraction unit 16 and the extraction result by the table information search unit 31 stored in the storage device 12.

  Next, the operation of the document data processing apparatus 1 having the configuration shown in FIG. 9 will be described. FIG. 10 is a flowchart showing an example of the processing operation of the document data processing apparatus according to the second embodiment of the present invention. FIG. 11 is a diagram showing an example of numerical information extracted by the document data processing apparatus according to the second embodiment of the present invention.

First, the document data processing apparatus 1 performs the same processing as steps S1 to S5 described in the first embodiment (steps S21 to S25).
Then, the table information search unit 31 of the document data processing apparatus 1 acquires the table information included in the input document data, refers to the item information and the limited information of the extraction result obtained by the important expression extraction unit 16, and determines the items from the table information. Information and limited information are acquired (step S26).

  Here, the configuration of the table information in the input document data is the configuration shown in FIG. In this table information, “CO2 emission (tons)” is described in the second column and the first row, “United States” is described in the first column, the second row, “Australia” is described in the first column, the fourth row, and 1 "Canada" is described in the sixth column. In this case, the table information search unit 31 acquires “CO2 emissions” as item information in the table information, and acquires “USA”, “Australia”, and “Canada” as limited information in the table information.

Further, the table information search unit 31 acquires numerical information from the table information based on the item information and limited information acquired from the table information in the input document data (step S27).
When the table information in the input document data has the configuration shown in FIG. 11, the table information search unit 31 has two columns and one row that is a description location of the item information “CO2 emission (tons)” in the table information. “19.8” described in the second column and the second row, which is the same row as the first column and the second row, which is the description location of the limited information “US”, and the item information “CO2 emissions” and Obtained as numerical information corresponding to the limited information “USA”.
Further, the table information search unit 31 is the same column as the second column and first row, which is the description location of the item information “CO2 emission (tons)” in the table information, and is the description location of the limited information “Australia” 1 “18.0” described in the second column and the fourth row, which is the same row as the fourth column, is acquired as numerical information corresponding to the item information “CO2 emission” and the limited information “Australia”.
Further, the table information search unit 31 is the same column as the second column and the first row, which is the description location of the item information “CO2 emission (tons)” in the table information, and is the description location of the limited information “Canada” 1 The numerical information “15.2” described in the second column and the sixth row, which is the same row as the sixth column, is acquired as the numerical information corresponding to the item information “CO2 emissions” and the limited information “Canada”.

FIG. 12 is a diagram showing an example of information to be collated by the document data processing apparatus according to the second embodiment of the present invention.
Here, as shown in FIG. 12, the first pattern of the important expression extraction processing result is “CO2 emission amount US 19.8 tons”, and the second pattern of the important expression extraction processing result is “CO2 emission amount Australia”. 18.0 tons ”and the third pattern of the important expression extraction processing result is“ CO2 emissions Canada 14.2 tons ”.

Also, as shown in FIG. 12, the table information search unit 31 removes the unit from the item information acquired from the table information, attaches the unit in the acquired item information to the numerical information, and acquires the limited Information obtained by adding information is used as a table information search processing result. Therefore, the pattern of the table information search processing result based on the table information shown in FIG. 11 is “CO2 emissions US 19.8 tons”, “CO2 emissions Australia 18.0 tons” and “CO2 emissions Canada”. 15.2 tons ".
The collation processing unit 32 collates the extraction result by the important expression extraction unit 16 stored in the storage device 12 and the table information retrieval processing result by the table information retrieval unit 31 (step S28).

The message creating unit 18 creates a message to be presented to the user using the important expressions extracted by the important expression extracting unit 16, the results obtained by the table information searching unit 31, and the matching processing unit 32 (step S29).
FIG. 13 is a diagram showing an example of various types of information to be processed by the document data processing apparatus according to the second embodiment of the present invention. FIG. 13 shows a collation result between the important expression extraction process result and the table information search process result.

Among the patterns of the table information search processing result, the first pattern of the extracted important expression extraction result is “CO2 emission US 19.8 tons”, and among the table information search processing results, the important expression extraction processing result The pattern to be matched with the first pattern is “CO2 emissions US 19.8 tons”, and these expressions match between the important expression extraction process result and the table information search process result. As shown in FIG. 13, it becomes “true”.
In this case, the message created by the message creating unit 18 is “the information in the text is the same as the information in the table. Information in the text: CO2 emissions US 19.8 tons Information in the table: CO2 emissions US 19. 8 tons ".

Further, the second pattern of the extracted important expression extraction result is “CO2 emission Australia 18.0 tons”, and the table information search process result is compared with the second pattern of the important expression extraction process result. The target pattern is “CO2 emissions Australia 18.0 tons”, and these expressions match between the important expression extraction process result and the table information search process result, so the collation result is “true” as shown in FIG. "
In this case, the message created by the message creation unit 18 is “* The information in the text and the information in the table are the same. Information in the text: CO2 emissions Australia 18.0 tons Information in the table: CO2 emissions Australia 18. 0 tons ".

In addition, the third pattern of the extracted important expression extraction processing result is “CO2 emission Canada 14.2 tons”, and the table information search processing result is compared with the third pattern of the important expression extraction processing result. The target pattern is “CO2 emissions Canada 15.2 tons”, and the numerical values of the expressions in these patterns do not match between the important expression extraction process result and the table information search process result. Becomes “false” as shown in FIG.
In this case, the message created by the message creation unit 18 is “* The information in the text does not match the information in the table. Information in the text: CO2 emissions Canada 14.2 tons Information in the table: CO2 emissions Canada 15 .2 tons ".

  The message creation unit 18 outputs the created message to the terminal device 2 via the input / output interface 15. When the communication interface 25 of the terminal device 2 inputs a message from the message creation unit 18, the control unit 21 displays this message on the output device 24 in association with the corresponding part in the input document data stored in the storage device 22. (Step S30).

FIG. 14 is a diagram showing a message output example by the terminal device according to the second embodiment of the present invention.
As shown in Fig. 6, the text string of the input document data shows that "The CO2 emissions per capita are the highest in the United States at 19.8 tons, and Australia and Canada are 18.0 tons respectively. ”Is followed by“ 14.2 tons ”, the control unit 21“ corresponding to the message, “CO2 emissions are the highest in the developed countries in the United States at 19.8 tons, Australia Canada, 18.0 tons and 14.2 tons, respectively, are displayed in reverse as shown in FIG. 14, and the input messages are linked to the reverse display locations and displayed on the output device 24.

  As described above, the document data processing apparatus according to the second embodiment of the present invention extracts the important expression from the document data created by the user and then stores the item information, the limited information, and the numerical information of the important expression in the document. Since the table information in the data is searched and the result of whether or not both are matched is output as a message, the efficiency of checking and correcting the consistency between the sentence portion in the document data and the table information is improved.

(Third embodiment)
Next, a third embodiment of the present invention will be described. FIG. 15 is a block diagram showing a configuration example of a document data processing apparatus according to the third embodiment of the present invention. As shown in FIG. 15, the document data processing apparatus 1 according to the third embodiment of the present invention further includes a certainty factor calculation unit 17 as compared with the second embodiment, and the certainty factor calculation unit 17. Is connected to the bus 19. In addition, the storage device 12 includes a color correspondence information storage unit 14.

  The operation of the document data processing apparatus having the configuration shown in FIG. 15 will be described. FIG. 16 is a flowchart showing an example of the processing operation of the document data processing apparatus according to the third embodiment of the present invention. FIG. 17 is a diagram showing an example of various data to be processed by the document data processing apparatus according to the third embodiment of the present invention. “????” in one pattern of the important expression extraction process result shown in FIG. 17 means an expression that has not been extracted in comparison with the table information search process result to be collated by the collation processing unit 32.

First, the document data processing apparatus 1 performs the same processing as the processing from step S21 to step S27 described in the second embodiment (steps S41 to S47).
Here, as shown in FIG. 17, the first pattern of the important expression extraction processing result is “CO2 emission 19.8 tons”, and the second pattern of the important expression extraction processing result is “CO2 emission Australia 18”. It is assumed that the third pattern of the important expression extraction processing result is “CO2 emission Canada 14.2 tons”.

The collation processing unit 32 collates the extraction result by the important expression extraction unit 16 and the extraction result by the table information search unit 31 stored in the storage device 12 (step S48). In this embodiment, the collation processing unit 32 individually collates each element in one pattern of the extracted important expression extraction process result and each element in one pattern of the collation target in the table information search process result, The collation result for each element is output in collation order.
The collation processing unit 32 outputs “true” as a collation result when there is an element included in one pattern of the important expression extraction process result and one pattern to be collated in the table information search process result, and the important expression extraction process If there is an element missing in one of the pattern of the result and the pattern of the table information search processing result, or if there is an element that does not match in both of the objects to be collated, collation with “false” Output the result.

Then, the certainty factor calculation unit 17 determines the content of the important expression belonging to this pattern in the input document data for each pattern of the important expression extraction processing result extracted by the important expression extraction unit 16 based on the collation result. A certainty factor indicating how reliable the expression is can be calculated (step S49).
Specifically, the certainty factor calculation unit 17 calculates the certainty factor based on the number of elements included in one pattern of the important expression extraction processing result. Here, when the number of elements included in the one pattern is N, the certainty factor is N-1. The certainty factor calculation unit 17 stores the information on the certainty factor calculated in this way in the storage device 12 together with the pattern of the important expression extraction processing result to be collated.

Further, the message creation unit 18 stores each message in the color correspondence information storage unit 14 of the storage device 12 based on the certainty factor calculated by the certainty factor calculation unit 17, and the color / confidence shown in FIG. 4. With reference to the degree correspondence information, the highlight color of the message is determined (step S50).
The message creating unit 18 creates a message to be presented to the user using the important expressions extracted by the important expression extracting unit 16, the results obtained by the table information searching unit 31, and the matching processing unit 32 (step S51). Here, the message creating unit 18 sets “true” for all the matching results for each element in one pattern of the important expression extraction processing result and the one pattern element of the table information search processing result that is the matching target of the pattern. In the case of, include the character string “* The information in the sentence and the table match.” Is included in the message, and both “true” and “false” are included in the matching result of each element of one pattern. If the message contains the character string “* The information in the sentence and the table partially match.” And the matching results for each element of one pattern are all “false” , "* The text and the information in the table do not match."

FIG. 17 shows a matching result between the important expression extraction process result and the table information search process result. In this embodiment, the first pattern of the extracted important expression extraction processing result is “CO2 emission amount 19.8 tons”, and the first pattern of the important expression extraction processing result among the table information search processing results. The pattern to be matched is “CO2 emissions US 19.8 tons”, “CO2 emissions” is included in both, and “US” is included in the table information search processing results, but is missing in the important expression extraction processing results Since “19.8 tons” is included in both, the collation result is “true false true” as shown in FIG.
In this case, the character string of the first message created by the message creation unit 18 is “* The information in the sentence and the information in the table partially match. Information in the sentence: CO2 emissions 19.8 tons Information: CO2 emissions in the United States of America 19.8 tons

  Here, since the number of elements in the first pattern of the important expression extraction processing result is two, the certainty factor calculated by the certainty factor calculation unit 17 is “1”. In this case, the color code associated with the certainty factor “1” in the color / certainty factor correspondence information shown in FIG. 4 is “# 999999”.

Further, the second pattern of the extracted important expression extraction result is “CO2 emission Australia 18.0 tons”, and the table information search process result is compared with the second pattern of the important expression extraction process result. The target pattern is “CO2 emissions Australia 18.0 tons”, and all the elements in this pattern match in both of the verification targets, so the verification result becomes “true true true” as shown in FIG.
In this case, the message created by the message creation unit 18 is “* The information in the text and the information in the table are the same. Information in the text: CO2 emissions Australia 18.0 tons Information in the table: CO2 emissions Australia 18. 0 tons ".

  Here, since the number of elements in the first pattern of the important expression extraction processing result is 3, the certainty factor calculated by the certainty factor calculation unit 17 is “2”. In this case, the color code associated with the certainty factor “2” in the color / certainty factor correspondence information shown in FIG. 4 is “#DCDCDC”.

In addition, the third pattern of the extracted important expression extraction processing result is “CO2 emission Canada 14.2 tons”, and the table information search processing result is compared with the third pattern of the important expression extraction processing result. The target pattern is “CO2 emission amount Canada 14.2 tons”, and all the elements in this pattern match in both of the verification targets, so the verification result is “true true true” as shown in FIG.
In this case, the message created by the message creation unit 18 is as follows: “* The information in the text is the same as the information in the table. Information in the text: CO2 emissions Canada 14.2 tons Information in the table: CO2 emissions Canada 14. 2 tons ".

  Here, since the number of elements in the first pattern of the important expression extraction processing result is 3, the certainty factor calculated by the certainty factor calculation unit 17 is “2”. In this case, the color code associated with the certainty factor “2” in the color / certainty factor correspondence information shown in FIG. 4 is “#DCDCDC”.

  The message creation unit 18 outputs the created colored message to the terminal device 2 via the input / output interface 15. When the communication interface 25 of the terminal device 2 inputs a message from the message creation unit 18, the control unit 21 displays this message on the output device 24 in association with the corresponding part in the input document data (step S52).

  As described above, in the document data processing apparatus according to the third embodiment of the present invention, the important expression in the document data created by the user is extracted, and the item information, the limited information, and the numerical information of the important expression are included in the document data. The table data is searched and the matching result between the text part in the document data and the table information is output as a message that is colored according to the number of elements in the pattern. This improves the efficiency of checking and correcting the consistency.

  In each embodiment, the terminal device 2 has a function of inputting document data, and the document data processing device 1 has functions of extracting important expressions, calculating certainty, and creating a message. Of course, it can be realized with a body-type device.

  The present invention is not limited to the above-described embodiment as it is, and can be embodied by modifying the constituent elements without departing from the scope of the invention in the implementation stage. Various inventions can be formed by appropriately combining a plurality of constituent elements disclosed in the embodiment. For example, some components may be omitted from all the components shown in the embodiment. Furthermore, you may combine suitably the component covering different embodiment.

1 is a block diagram showing a configuration example of a document data processing apparatus according to a first embodiment of the present invention. The block diagram which shows the structural example of the terminal device according to the 1st Embodiment of this invention. The figure which shows an example of the important expression extraction and message creation rule dictionary memorize | stored in the memory | storage device of the document data processing apparatus according to the 1st Embodiment of this invention in a table format. The figure which shows an example of the color corresponding | compatible information memorize | stored in the memory | storage device of the document data processing apparatus according to the 1st Embodiment of this invention in a table format. 6 is a flowchart illustrating an example of a processing operation of the document data processing apparatus according to the first embodiment of the present invention. The figure which shows the example of extraction of the important expression of the process target by the document data processing apparatus according to the 1st Embodiment of this invention. The figure which shows the creation example of the message of the process target by the document data processing apparatus according to the 1st Embodiment of this invention. The figure which shows the example of a message output by the terminal device according to the 1st Embodiment of this invention. The block diagram which shows the structural example of the document data processing apparatus according to the 2nd Embodiment of this invention. 10 is a flowchart showing an example of processing operation of the document data processing apparatus according to the second embodiment of the present invention. The figure which shows an example of the numerical information extracted by the document data processing apparatus according to the 2nd Embodiment of this invention. The figure which shows an example of the information of the collation object by the document data processing apparatus according to the 2nd Embodiment of this invention. The figure which shows an example of the various information of the process target by the document data processing apparatus according to the 2nd Embodiment of this invention. The figure which shows the example of a message output by the terminal device according to the 2nd Embodiment of this invention. The block diagram which shows the structural example of the document data processing apparatus according to the 3rd Embodiment of this invention. 10 is a flowchart showing an example of processing operation of the document data processing apparatus according to the third embodiment of the present invention. The figure which shows an example of the various data of the process target by the document data processing apparatus according to the 3rd Embodiment of this invention.

Explanation of symbols

  DESCRIPTION OF SYMBOLS 1 ... Document data processing apparatus, 2 ... Terminal device, 11, 21 ... Control part, 12, 22 ... Storage device, 13 ... Dictionary information storage part, 14 ... Color correspondence information storage part, 15 ... Input / output interface, 16 ... Important Expression extraction unit, 17 ... Certainty factor calculation unit, 18 ... Message creation unit, 19, 26 ... Bus, 23 ... Input device, 24 ... Output device, 25 ... Communication interface, 31 ... Table information search unit, 32 ... Collation processing unit .

Claims (4)

A document input means for inputting document data;
Storage means for storing rule information for extracting important information from document data and rule information for calculating a certainty factor indicating reliability of the extracted important information;
Extracting means for extracting important information from the document data input by the document input means based on the rule information stored in the storage means;
Based on the rule information stored in the storage means, calculating means for calculating a certainty factor indicating the reliability of the important information extracted by the extracting means;
Document data processing apparatus comprising: important information extracted by the extraction means; and a creation means for creating a confirmation message for the important information based on the certainty factor calculated by the calculation means for the important information . A document input means for inputting document data including table information;
Storage means for storing rule information for extracting important information from document data;
Extracting means for extracting important information from the document data input by the document input means based on the rule information stored in the storage means;
Search means for searching for information corresponding to important information extracted by the extraction means from table information in the document data input by the document input means;
Information corresponding to the information retrieved by the retrieval means among the important information extracted by the extraction means, and collation means for collating the retrieved information;
A document data processing apparatus comprising: a creation unit that creates a message indicating a collation result by the collation unit. A document input means for inputting document data including table information;
Storage means for storing rule information for extracting important information from document data and rule information for calculating a certainty factor indicating reliability of the extracted important information;
Extracting means for extracting important information from the document data input by the document input means based on the rule information stored in the storage means;
Search means for searching for information corresponding to important information extracted by the extraction means from table information in the document data input by the document input means;
Based on the rule information stored in the storage means, calculating means for calculating a certainty factor indicating the reliability of the important information extracted by the extracting means;
Information corresponding to the information retrieved by the retrieval means among the important information extracted by the extraction means, and collation means for collating the retrieved information;
A document data processing apparatus, comprising: a creation unit that creates a message indicating a collation result by the collation unit by distinguishing the message based on a certainty factor calculated by the calculation unit.   4. The rule information for extracting the important information stored in the stored information is information in which a combination of important expressions in document data is described by a regular expression. The document data processing apparatus described.

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