CN110851579B - User intention identification method, system, mobile terminal and storage medium - Google Patents
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Abstract
The invention is suitable for the technical field of computers, and provides a user intention identification method, a system, a mobile terminal and a storage medium, wherein the method comprises the following steps: obtaining a question sent by a user aiming at a preset fixed sentence pattern, and segmenting the question to obtain a segmented sentence, wherein the segmented sentence comprises a plurality of questions; sequentially carrying out code matching on each question word, and carrying out code marking on the question words according to a matching result; and matching the word segmentation sentences after the coding marks with a local question-answering library, and displaying the matched target content when the matching is judged to be successful. The invention reminds the user to summarize own needs by presetting a form of a fixed sentence pattern, and asks questions according to the thought so as to improve the subsequent recognition efficiency aiming at the intention of the user.
Description
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a user intention identification method, a user intention identification system, a mobile terminal and a storage medium.
Background
With the development of natural language processing technology, dialogue computers are beginning to increasingly move into people's daily lives. In the face of various application scenarios, the current conversational computers can be mainly divided into three categories, namely personal assistants, customer service computers and chat computers. The personal assistant can complete the instruction of the user within a preset range; the customer service computer can answer various service questions for the user in a specific field; the chat computer can simply communicate with the user in a flood scene. In the process of a computer and a user's conversation, the recognition of the user's intention directly affects the accuracy of the question answer, so the user intention recognition method is more and more emphasized by people.
Most of the existing intention recognition technologies are of data matching nature, and answer questions of users mechanically, but because the same question can be asked in a plurality of question modes, the accuracy of the existing computer question answering process is low, and the use experience of the users is reduced.
Disclosure of Invention
Embodiments of the present invention provide a user intention identification method, a user intention identification system, a mobile terminal, and a storage medium, and aim to solve the problem of poor user experience caused by low accuracy of user intention identification in the existing user intention identification method.
The embodiment of the invention is realized in such a way that a user intention identification method comprises the following steps:
obtaining a question transmitted by a user aiming at a preset fixed sentence pattern, and segmenting the question to obtain a segmented sentence, wherein the segmented sentence comprises a plurality of question words;
carrying out code matching on each question word in sequence, and carrying out code marking on the question words according to a matching result;
and matching the word segmentation sentences after the coding marks with a local question-answering library, and displaying the matched target content when the matching is judged to be successful.
Further, the step of segmenting the question sentence includes:
acquiring fixed words stored in the preset fixed sentence pattern;
and matching the words of the question sentence without the fixed words with a local word library, and segmenting the question sentence according to a matching result to obtain the segmented words.
Furthermore, the step of sequentially performing code matching on each question word and performing code marking on the question words according to a matching result comprises:
matching the questioning words with a locally stored coding database to obtain questioning codes;
and connecting the question codes in sequence according to the sequence of the question words to obtain a coded sentence.
Further, the step of matching the segmented words with the local question-answering database after the encoding and marking comprises:
matching the coding sentences with the question-answer library and judging whether a matching result exists or not;
and if so, displaying the matched matching solution and the positive title.
Further, the fixed words stored in the preset fixed sentence pattern include how and/or what.
Another object of an embodiment of the present invention is to provide a user intention recognition system, including:
the word segmentation module is used for acquiring question sentences sent by a user aiming at a preset fixed sentence pattern and segmenting the question sentences to obtain word segmentation sentences, wherein the word segmentation sentences comprise a plurality of question words;
the code matching module is used for carrying out code matching on each question word in sequence and carrying out code marking on the question words according to a matching result;
and the answer display module is used for matching the word segmentation sentences after the coding marks with a local question-answer library and displaying the matched target content when the matching is judged to be successful.
Still further, the word segmentation module is further configured to:
acquiring fixed words stored in the preset fixed sentence pattern;
and matching the words of the question sentence without the fixed words with a local word library, and segmenting the question sentence according to a matching result to obtain the segmented words.
Still further, the word segmentation module is further configured to:
matching the questioning words with a locally stored coding database to obtain questioning codes;
and connecting the question codes in sequence according to the sequence of the question words to obtain a coded sentence.
Another object of an embodiment of the present invention is to provide a mobile terminal, including a storage device and a processor, where the storage device is used to store a computer program, and the processor runs the computer program to make the mobile terminal execute the above-mentioned user intention identification method.
Another object of an embodiment of the present invention is to provide a storage medium, which stores a computer program used in the mobile terminal, wherein the computer program, when executed by a processor, implements the steps of the user intention identification method.
According to the embodiment of the invention, the user is reminded to summarize own needs by presetting the form of the fixed sentence pattern, the thought is smoothed out for questioning, so that the subsequent identification efficiency aiming at the user intention is improved, the matching and marking of the subsequent coding aiming at the questioning words are effectively facilitated by designing the segmentation of the questioning words, the intention of the user is accurately inquired by designing the segmentation of the coding marked sentences with a local question and answer library, the answer result is inquired according to the intention, and the identification efficiency aiming at the user intention is effectively improved.
Drawings
Fig. 1 is a flowchart of a user intention identification method according to a first embodiment of the present invention;
FIG. 2 is a flowchart of a user intention recognition method according to a second embodiment of the present invention;
FIG. 3 is a schematic structural diagram of a user intention recognition system according to a third embodiment of the present invention;
fig. 4 is a schematic structural diagram of a mobile terminal according to a fourth embodiment of the present invention.
The following detailed description will further illustrate the invention in conjunction with the above-described figures.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be described clearly and completely with reference to the accompanying drawings of the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all embodiments of the present invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be obtained by a person skilled in the art without any inventive step based on the embodiments of the present invention, are within the scope of the present invention.
In the description of the present invention, it is to be understood that the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer", "clockwise", "counterclockwise", and the like, indicate orientations and positional relationships based on those shown in the drawings, and are used only for convenience of description and simplicity of description, and do not indicate or imply that the equipment or element being referred to must have a particular orientation, be constructed and operated in a particular orientation, and thus, should not be considered as limiting the present invention.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present invention, "a plurality" means two or more unless specifically defined otherwise.
In the present invention, unless otherwise expressly stated or limited, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can, for example, be fixedly connected, detachably connected, or integrally formed; can be mechanically or electrically connected; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meanings of the above terms in the present invention can be understood by those skilled in the art according to specific situations.
In the present invention, unless otherwise expressly stated or limited, "above" or "below" a first feature means that the first and second features are in direct contact, or that the first and second features are not in direct contact but are in contact with each other via another feature therebetween. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly under and obliquely below the second feature, or simply meaning that the first feature is at a lesser elevation than the second feature.
Example one
Please refer to fig. 1, which is a flowchart illustrating a user intention identifying method according to a first embodiment of the present invention, including the steps of:
step S10, obtaining question sentences sent by a user aiming at a preset fixed sentence pattern, and segmenting the question sentences to obtain segmented sentence;
wherein the participle sentence includes a plurality of questioning words, and the preset fixed sentence pattern is a sentence beginning with "how" or ending with "how do", for example, "how to raise the attention of children? "," how do children's attention is not high? ";
specifically, the user is reminded to summarize own needs by presetting a fixed sentence pattern form, and the thought is smoothed out for questioning so as to improve the subsequent recognition efficiency aiming at the user intention, and in the step, the subsequent recognition aiming at the user intention is effectively facilitated by carrying out word segmentation design on the questioning sentences;
step S20, carrying out code matching on each question word in sequence, and carrying out code marking on the question words according to matching results;
in the step, each question word is subjected to coding matching design in sequence to convert the participle sentence into the coded sentence, so that the participle sentence is effectively improved in the processing efficiency of subsequent data;
step S30, matching the word-dividing sentences after being coded and marked with a local question-answering library, and displaying the matched target content when the matching is judged to be successful;
the question-answer library is provided with a plurality of special question sentences and corresponding code combinations for asking the method about a certain thing beginning with 'how' or ending with 'how' through a language material base and a manual writing mode so as to increase the matching success probability;
preferably, at least 1 special question of each matter is coded and combined to ask the method for the matter to start with 'how' or end with 'how' so that the matter is 'just title';
in addition, in this embodiment, the steps S10 to S30 may be used in sequence as a method, or may be used in a system, that is, when the user inputs "how" after step S10 detects that the user inputs "how" or when the user inputs "how" and inputs an arbitrary word, the steps S20 and S30 are started;
in the embodiment, the user is reminded to summarize own needs by presetting a fixed sentence pattern, the thought is smoothed out for questioning, so that the subsequent recognition efficiency aiming at the user intention is improved, the subsequent matching and marking aiming at the questioning word codes are effectively facilitated by designing the questioning sentence in a word segmentation manner, the divided word sentence marked by the codes is matched with the local question-answering base, the user intention is accurately inquired, the answer result is inquired according to the intention, and the recognition efficiency aiming at the user intention is effectively improved.
Example two
Please refer to fig. 2, which is a flowchart illustrating a user intention recognition method according to a second embodiment of the present invention, including the steps of:
step S11, obtaining a question sentence sent by a user aiming at a preset fixed sentence pattern, and obtaining a fixed word stored in the preset fixed sentence pattern;
wherein the participle sentence includes a plurality of questioning words, and the preset fixed sentence pattern is a sentence beginning with "how" or ending with "how do", for example, "how to raise the attention of children? "," how do children's attention is not high? "therefore, the fixed words in this step are" how "and" how to do ";
specifically, the user is reminded to summarize own needs through presetting a form of a fixed sentence pattern, the thought is smoothed out for questioning, so that the subsequent recognition efficiency aiming at the user intention is improved, and in the step, through the design of segmenting the question sentence, the subsequent recognition aiming at the user intention is effectively facilitated
Step S21, matching the words of the question sentence without the fixed words with a local word and word library, and segmenting the question sentence according to a matching result to obtain segmented words and sentences;
wherein the word-separating sentence includes a plurality of question words, for example, when the question sentence is "how to raise the attention of the child? If the word is 'how, improving, child, attention' and 'how' is a sentence component which is not divided;
step S31, matching the question words with a locally stored coding database to obtain question codes;
wherein, the corresponding code of the word segmentation in the code database is:
increasing-tigao 1; child-haizi 1; de1; attention-zhuyili 1
S41, connecting the question codes in sequence according to the sequence of the question words to obtain a coded sentence;
wherein, the corresponding coding sentence is 'how to tigao1 haiizi 1de1zhuyili 1';
s51, matching the coding sentence with the question-answer library and judging whether a matching result exists or not;
the question-answer library is provided with a plurality of specific question sentences which are used for asking the method for asking something and started in 'how' or ended in 'how' and corresponding code combinations so as to increase the matching success probability;
preferably, at least 1 special question of each matter is coded and combined to ask the method for the matter to start with 'how' or end with 'how' so that the matter is 'just title';
for example, the codes of the question-answering library for how to tigo 1haizi1de1zhuyili1 are combined into a semantic library a, which includes the following codes:
firstly, the method comprises the following steps: how tigao1 haiizi 1de1zhuyili1; how to tigao2 haiizi 2de2zhuyili2; how tigao3 haiizi 3de3zhuyili3; how is the tigoanhanidizinenzhuyilin, where M, N, A represents a positive integer greater than or equal to 1, and how is sentence fixed
the tigao 2-tigaoN codes may correspond to words:
(1) "enhanced" homophones or mispronounced characters, such as: "body height";
(2) The synonyms of "increase" such as: "lift";
(3) The homonym word of "raise" (i.e. the word which does not greatly affect the sentence meaning of the whole sentence after replacing "raise") is as follows: "reinforcement", "lifting", "training", etc.;
the theory of words corresponding to the haizi 2-haizi N codes on homonymous abnormal or wrongly written characters, similar meaning words and homonymous words is improved as follows: "kids", "children", "girls", etc.;
de2～deN；
the corresponding words of zhuyili 2-zhuyiliN codes have the same improved reasoning on homophones, abnormal or wrongly-written characters, similar meaning words and similar meaning words;
the semantic library A comprises the following codes:
II, secondly, the method comprises the following steps: what is what hapizi 1zhuyili1bu1gao1, the corresponding sentences are encoded as: how do children have low attention? (ii) a haizi2zhuyili2bu2 gao; haiizizhuyiilnbugaon, wherein the principle is the same as above;
the semantic library A comprises the following codes:
thirdly, the method comprises the following steps: what the haizi1de1zhuyili1bujizhong1 had is, the corresponding sentence of code is: how do the children's attention not concentrate?
The semantic library A comprises the following codes:
n: in principle, sentences are all special questions for asking the questions of the method beginning with 'how' or ending with 'how to do', the semantics are the same, but the arrangement and combination of the words are different;
in semantic library a, for "how do you raise the attention of children? In the coding combination of the special question for asking the method, the corresponding coding of how to quickly promote the attention of the child is used as the positive title of how to kuaisu1tigao1haizi1de1 zhuyilii 1, and the others are matching solutions;
in the step, specific questions of the method for asking questions about what starts or what ends of the method are collected manually, and the semantic library where the codes are located is built by applying synonyms, confusing words, characters and the like, and matching solutions and titles are determined;
in this step, the questioner is guided to treat the question rationally by manually setting the form of the "positive title". Such as: when the user searches for "children do not learn how to type well", the corresponding positive title may be: how to help children change habits of greeting and not learning or how to cultivate learning interests of children, so that the intention of the users is recognized, a good teaching function is also played, and the work efficiency of the users is greatly improved;
when the judgment result of the step S51 is yes, step S61 is executed;
step S61, displaying the matched matching solution and the positive title;
for example, when a user asks: "yesterday bought a pair of shoes in the market, the merchant did not invoice and worried about how can not deal with after sale? "the existing computer technology still has difficulty in providing satisfactory results for users through a large number of algorithms.
In this embodiment, the user may be guided to ask a question: "how do the merchant do not give invoices? The problem that the user does not buy shoes after selling is solved, the accuracy of user intention identification is improved, and the time of the user is greatly saved;
further, it should be noted that:
(1) In the specific question asking about the method beginning with "how" or ending with "how do", the beginning "how" can be replaced by question pronouns such as "how", etc
(2) In the specific question asking about the method beginning with "how" or ending with "how to do", the "how to do" at the end of the sentence may be replaced by question pronouns such as "how to do", and the like.
(3) In the specific question sentence which asks the method at the beginning of 'how' or at the end of 'how to do', the 'how' of the sentence head and the 'how to do' of the sentence tail can be coded outside the sentence meaning;
in the embodiment, the questions are limited by the specific questions beginning with 'how' and ending with 'how to do' and the semantic expression range is greatly limited by the specific questions beginning with 'how' and ending with 'how to do', so that the thinking of a questioner is combed, the questions are more specific in method, the workload of an answerer is reduced, the accuracy of answering the questions is improved, the information exchange cost is reduced on the whole, the subsequent matching and marking of question word codes are facilitated by designing the question sentences in a word segmentation mode, the intention of a user is accurately inquired by designing the word segmentation sentences marked by the codes and a local question-answer base, the answer result is inquired according to the intention, and the identification efficiency of the intention of the user is effectively improved.
EXAMPLE III
Referring to fig. 3, which is a schematic structural diagram of a user intention recognition system 100 according to a third embodiment of the present invention, a word segmentation module 10, a code matching module 11, and a response display module 12, wherein:
the word segmentation module 10 is configured to acquire a question sent by a user in a preset fixed sentence pattern, and segment the question to obtain a segmented word sentence, where the segmented word sentence includes multiple question words.
And the code matching module 11 is used for sequentially performing code matching on each question word and performing code marking on the question words according to a matching result.
And the answer display module 12 is configured to match the segmented word sentences after the coding marking with a local question-answer library, and display the matched target content when it is determined that the matching is successful.
In this embodiment, the word segmentation module 10 is further configured to: acquiring fixed words stored in the preset fixed sentence pattern; and matching the words without the fixed words in the question sentence with a local word library, and segmenting the question sentence according to a matching result to obtain the segmented word sentence, wherein the fixed words stored in the preset fixed sentence pattern comprise how and/or how to do and the like.
Preferably, the word segmentation module 10 is further configured to: matching the questioning words with a locally stored coding database to obtain questioning codes; and connecting the question codes in sequence according to the sequence of the question words to obtain a coded sentence.
Further, the answer display module 12 is further configured to: matching the coding sentences with the question-answer library and judging whether a matching result exists or not; and if so, displaying the matched matching solution and the positive title.
In the embodiment, the user is reminded to summarize own needs by presetting a fixed sentence pattern, the thought is smoothed out for questioning, so that the subsequent recognition efficiency aiming at the user intention is improved, the subsequent matching and marking aiming at the questioning word codes are effectively facilitated by designing the questioning sentence in a word segmentation manner, the divided word sentence marked by the codes is matched with the local question-answering base, the user intention is accurately inquired, the answer result is inquired according to the intention, and the recognition efficiency aiming at the user intention is effectively improved.
Example four
Referring to fig. 4, a mobile terminal 101 according to a fourth embodiment of the present invention includes a storage device and a processor, where the storage device is used to store a computer program, and the processor runs the computer program to make the mobile terminal 101 execute the above-mentioned user intention identifying method.
The present embodiment also provides a storage medium on which a computer program used in the above-mentioned mobile terminal 101 is stored, which when executed, includes the steps of:
obtaining a question transmitted by a user aiming at a preset fixed sentence pattern, and segmenting the question to obtain a segmented sentence, wherein the segmented sentence comprises a plurality of question words;
carrying out code matching on each question word in sequence, and carrying out code marking on the question words according to a matching result;
and matching the word segmentation sentences after the coding marks with a local question-answering library, and displaying the matched target content when the matching is judged to be successful. The storage medium, such as: ROM/RAM, magnetic disk, optical disk, etc.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-mentioned division of the functional units and modules is used as an example, in practical applications, the above-mentioned function distribution may be performed by different functional units or modules according to needs, that is, the internal structure of the storage device is divided into different functional units or modules to perform all or part of the above-mentioned functions. Each functional unit and module in the embodiments may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit, and the integrated unit may be implemented in a form of hardware, or may be implemented in a form of software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application.
Those skilled in the art will appreciate that the component structures shown in fig. 3 are not intended to limit the user intent recognition system of the present invention and may include more or fewer components than those shown, or some of the components may be combined, or a different arrangement of components, and that the user intent recognition methods of fig. 1-2 may be implemented using more or fewer components than those shown in fig. 3, or some of the components may be combined, or a different arrangement of components. The units, modules, etc. referred to herein are a series of computer programs that can be executed by a processor (not shown) in the target user intention recognition system and that can function to perform a specific function, and may be stored in a storage device (not shown) of the target user intention recognition system.
The above-described embodiments describe the technical principles of the present invention, and these descriptions are only for the purpose of explaining the principles of the present invention and are not to be construed as limiting the scope of the present invention in any way. Based on the explanations herein, those skilled in the art will be able to conceive of other embodiments of the present invention without inventive effort, which would fall within the scope of the present invention.
Claims (4)
1. A method for identifying user intent, the method comprising: obtaining a question transmitted by a user aiming at a preset fixed sentence pattern, and segmenting the question to obtain a segmented sentence, wherein the segmented sentence comprises a plurality of question words; carrying out code matching on each question word in sequence, and carrying out code marking on the question words according to a matching result; matching the word-separating sentences after the coding marks with a local question-answering library, and displaying the matched target content when the matching is judged to be successful, wherein the step of separating words from the question sentences comprises the following steps: acquiring fixed words stored in the preset fixed sentence pattern; matching the words in the question sentence without the fixed words with a local word library, segmenting the question sentence according to a matching result to obtain segmented words, sequentially carrying out coding matching on each question word, and carrying out coding marking on the question words according to a matching result, wherein the step of matching the words in the question sentence with the fixed words comprises the following steps: matching the questioning words with a locally stored coding database to obtain questioning codes; connecting the question codes in sequence according to the sequence of the question words to obtain coded sentences, wherein the step of matching the word-dividing sentences marked by the codes with a local question-answering library comprises the following steps: matching the coded sentences with the question-answer library and judging whether a matching result exists or not; and if so, displaying the matched matching solution and the positive title, wherein the fixed words stored in the preset fixed sentence pattern comprise how and/or what to do.
2. A user intent recognition system, the system comprising: the word segmentation module is used for acquiring question sentences sent by a user aiming at a preset fixed sentence pattern and segmenting the question sentences to obtain word segmentation sentences, wherein the word segmentation sentences comprise a plurality of question words; the code matching module is used for carrying out code matching on each question word in sequence and carrying out code marking on the question words according to a matching result; the answer display module is used for matching the word segmentation sentences after the coding marks with a local question-answer library and displaying matched target contents when the matching is judged to be successful, and the word segmentation module is also used for: acquiring fixed words stored in the preset fixed sentence pattern; matching the words in the question sentence without the fixed words with a local word library, and segmenting the question sentence according to a matching result to obtain the segmented words, wherein the word segmentation module is further used for: matching the questioning words with a locally stored coding database to obtain questioning codes; and connecting the question codes in sequence according to the sequence of the question words to obtain a coded sentence.
3. A mobile terminal characterized by comprising a storage device for storing a computer program and a processor that runs the computer program to cause the mobile terminal to execute the user intention identifying method according to claim 1.
4. A storage medium characterized in that it stores a computer program for use in a mobile terminal according to claim 3, which computer program, when executed by a processor, implements the steps of the user intention identification method according to claim 1.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009113494A1 (en) * | 2008-03-10 | 2009-09-17 | 国立大学法人横浜国立大学 | Question and answer system which can provide descriptive answer using www as source of information |
| CN106055537A (en) * | 2016-05-23 | 2016-10-26 | 王立山 | Natural language machine recognition method and system |
| CN107273350A (en) * | 2017-05-16 | 2017-10-20 | 广东电网有限责任公司江门供电局 | A kind of information processing method and its device for realizing intelligent answer |
| CN109325040A (en) * | 2018-07-13 | 2019-02-12 | 众安信息技术服务有限公司 | A kind of extensive method, device and equipment in FAQ question and answer library |
| CN109635091A (en) * | 2018-12-14 | 2019-04-16 | 上海钛米机器人科技有限公司 | A kind of method for recognizing semantics, device, terminal device and storage medium |
| CN109871437A (en) * | 2018-11-30 | 2019-06-11 | 阿里巴巴集团控股有限公司 | Method and device for the processing of customer problem sentence |
| CN110276071A (en) * | 2019-05-24 | 2019-09-24 | 众安在线财产保险股份有限公司 | A kind of text matching technique, device, computer equipment and storage medium |
| CN110321420A (en) * | 2019-07-04 | 2019-10-11 | 河海大学常州校区 | The intelligent Answer System generated based on question sentence |
Family Cites Families (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JPH0793351A (en) * | 1993-09-22 | 1995-04-07 | Matsushita Electric Ind Co Ltd | Natural language question and answer generating device |
| WO2001003006A1 (en) * | 1999-07-06 | 2001-01-11 | Cai Co., Ltd. | System and method for natural language dialog by computer and recorded medium |
| CN1794233A (en) * | 2005-12-28 | 2006-06-28 | 刘文印 | Network user interactive asking answering method and its system |
| CN102033934B (en) * | 2010-12-17 | 2016-09-07 | 百度在线网络技术（北京）有限公司 | A kind of server end forming the method for enquirement, device and knowledge Q-A system |
| CN102789466B (en) * | 2011-05-19 | 2015-09-30 | 百度在线网络技术（北京）有限公司 | A kind of enquirement title quality judging method, enquirement bootstrap technique and device thereof |
| CN107368590B (en) * | 2017-06-08 | 2020-01-17 | 张豪夺 | Method, storage medium and application server for recommending questions and answers for user |
-
2019
- 2019-11-06 CN CN201911077835.6A patent/CN110851579B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2009113494A1 (en) * | 2008-03-10 | 2009-09-17 | 国立大学法人横浜国立大学 | Question and answer system which can provide descriptive answer using www as source of information |
| CN106055537A (en) * | 2016-05-23 | 2016-10-26 | 王立山 | Natural language machine recognition method and system |
| CN107273350A (en) * | 2017-05-16 | 2017-10-20 | 广东电网有限责任公司江门供电局 | A kind of information processing method and its device for realizing intelligent answer |
| CN109325040A (en) * | 2018-07-13 | 2019-02-12 | 众安信息技术服务有限公司 | A kind of extensive method, device and equipment in FAQ question and answer library |
| CN109871437A (en) * | 2018-11-30 | 2019-06-11 | 阿里巴巴集团控股有限公司 | Method and device for the processing of customer problem sentence |
| CN109635091A (en) * | 2018-12-14 | 2019-04-16 | 上海钛米机器人科技有限公司 | A kind of method for recognizing semantics, device, terminal device and storage medium |
| CN110276071A (en) * | 2019-05-24 | 2019-09-24 | 众安在线财产保险股份有限公司 | A kind of text matching technique, device, computer equipment and storage medium |
| CN110321420A (en) * | 2019-07-04 | 2019-10-11 | 河海大学常州校区 | The intelligent Answer System generated based on question sentence |
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