WO2001003006A1 - Systeme et procede de dialogue en langage naturel, par ordinateur et support enregistre - Google Patents

Systeme et procede de dialogue en langage naturel, par ordinateur et support enregistre Download PDF

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Publication number
WO2001003006A1
WO2001003006A1 PCT/JP2000/004526 JP0004526W WO0103006A1 WO 2001003006 A1 WO2001003006 A1 WO 2001003006A1 JP 0004526 W JP0004526 W JP 0004526W WO 0103006 A1 WO0103006 A1 WO 0103006A1
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WIPO (PCT)
Prior art keywords
user
natural language
business
mode
sentence
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PCT/JP2000/004526
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English (en)
Japanese (ja)
Inventor
Tadamitsu Ryu
Original Assignee
Cai Co., Ltd.
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from JP11191311A external-priority patent/JP2001022763A/ja
Priority claimed from JP29911899A external-priority patent/JP2001117923A/ja
Application filed by Cai Co., Ltd. filed Critical Cai Co., Ltd.
Publication of WO2001003006A1 publication Critical patent/WO2001003006A1/fr

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Classifications

    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/30—Information retrieval; Database structures therefor; File system structures therefor of unstructured textual data
    • G06F16/33—Querying
    • G06F16/3331—Query processing
    • G06F16/334—Query execution
    • G06F16/3344—Query execution using natural language analysis
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06F—ELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
    • G06F16/24—Querying
    • G06F16/245—Query processing
    • G06F16/2452—Query translation
    • G06F16/24522—Translation of natural language queries to structured queries

Definitions

  • the present invention relates to a system that enables dialogue with input sentences expressed in a natural language, and is used as an interface of various information processing devices. Recently, input and response in natural language have been actively developed for interactive information processing devices such as information retrieval systems so that general users can easily operate them.
  • Japanese Patent Application Laid-Open No. 9-169090 describes a process when an incomplete natural language sentence is input to an information processing device, and specifies a demonstrative pronoun included in the input sentence to respond according to the meaning of the sentence. (Japanese Unexamined Patent Application Publication No. 9-1446972).
  • An object of the present invention is to be able to judge an input sentence in a user's natural language, switch an interaction mode in accordance with the judgment, and have a dialogue, and furthermore, a person who can guide a user to a business dialogue.
  • An object of the present invention is to provide a system, a method, and a recording medium that enable a dialogue close to a natural dialogue of a user.
  • Another object of the present invention is to judge the input sentence in the user's natural language in the state of the dialogue (state of the utterance such as whether the input sentence is an answer to a question asked by the system), and according to the state judgment.
  • Input mode to understand input It is possible to analyze by switching the mode, determine the meaning of the input sentence, perform appropriate work, and return the appropriate response sentence to the user according to the execution.
  • the aim is to provide a system that enables dialogue closer to human dialogue.
  • a natural language dialogue system using a computer having at least an input means for inputting information by a user. 1) At least two dialogue modes having different characteristics are provided. An interactive mode selection means for selecting either one;
  • a natural language dialogue system using a computer and a natural language dialogue method between a computer and a computer which includes a switching means for switching the dialogue mode by determining the result of the analysis.
  • a chat mode in which a response is output only according to a preset rule base and no data is acquired.
  • It can be a natural language dialogue system using a computer including a business mode dialogue means provided with the above, and a natural language dialogue method between a computer and a user.
  • the business mode can be further divided into a plurality of business modes having different business items.
  • the system includes out-of-order processing means for determining a business item in which the input data should be stored by referring to a database storing the extracted data and the items to which the data belongs. Even if data over multiple business items can be accepted and the input data is applied to the missing business items and object data is generated, even if the input items are not specified in advance, the system mechanism will be improved. Even if a user who does not understand inputs the data in any order, it can flexibly respond.
  • the schema of the object database to be generated by the system administrator related to the business is obtained. The trouble of setting each time can be reduced.
  • a business guidance means for performing a predetermined inquiry is effective for marketing.
  • Item monitoring means By including the as a component, it is possible to continue asking the user for necessary information until the end.
  • Mode switching means for switching the input mode by determining the state of the dialogue
  • word decomposition means for morphologically analyzing the input sentence
  • a hearing supplementing means for extracting a word whose part of speech is a noun from the result of the morphological analysis and extracting it as an answer
  • responding means for generating and outputting an output sentence according to the result of the input sentence processing means
  • the method performed by the system is:
  • the input mode includes at least two modes: a normal mode and an answer mode in which an answer sentence to the question sentence output by the system is input.
  • the input sentence is at least one selected from a text sentence by keyboard input and a sentence converted into a text via a speech recognition device.
  • the status of the dialogue can be determined based on whether or not the system has output a question sentence to the partner of the dialogue immediately before.
  • the labeling in the natural language dialogue method between the user and the user is performed by referring to at least one selected from a previously created dictionary and a result of parsing an input sentence.
  • FIG. 1 is a block diagram of an entire embodiment of a natural language dialogue system using a combination according to the first embodiment of the present invention.
  • FIG. 2 is a table showing an example of a rule base used in the natural language dialogue system by the computer of FIG.
  • Fig. 3 is a table showing an example of a list of tasks and keywords used in the natural language dialogue system based on the combination shown in Fig. 1.
  • FIG. 4 is a detailed diagram of the chat mode dialogue means in the natural language dialogue system by computer of FIG.
  • FIG. 5 is a detailed diagram of the general mode dialogue means in the natural language dialogue system by the combination of FIG.
  • FIG. 6 is a detailed diagram of a business mode dialogue means in the natural language dialogue system by computer of FIG.
  • FIG. 7 is a block diagram of one embodiment of the computer-aided natural language dialogue system according to the second aspect of the present invention.
  • FIG. 8 is a detailed diagram of the means for supplementing the feedback in the natural language dialogue system using the computer of FIG.
  • FIG. 9 is a detailed diagram of the input sentence processing means in the natural language dialogue system by the short-lived view of FIG.
  • FIG. 10 is a detailed diagram of the response means in the natural language dialogue system by the combination of FIG.
  • FIG. 1 is a block diagram of the embodiment of the present invention. This method and system are realized by a program whose operation is controlled by reading a program stored in a storage medium.
  • the system in this embodiment includes input means 101, analysis means 102, switching means 103, chat mode interaction means 104, general mode interaction means 105, business mode interaction means. It consists of 106, output means 107, listening means 108, and answering means 109.
  • the input means 101 recognizes the input sentence uttered by the user's natural language, converts the text, and inputs the text to the analysis means 102.
  • the input means 101 employs a speech recognition device.However, the input device is not limited to this, and even if the user directly inputs an input sentence with the keyboard, the written sentence is converted into an OCR. It may be read by a recognition device.
  • the analysis unit 102 performs a morphological analysis on the input sentence, generates a word string to which part-of-speech information is added, and sends it to the switching unit 103.
  • the switching means discriminates the input sentence, and switches between chat modes having different characteristics such as chat mode interaction means 104, general mode interaction means 105, and business mode interaction means 106.
  • the output means 107 is a conventional speech synthesizer, The answer sentence generated by the interactive means is output as speech. If there is a shortage in the interactive means, if there is an evening, the listening means 108 is activated as necessary to output an inquiry to the user. The input sentence from the user after the reflection is returned and the answering means is used to supplement the missing data and proceed with the dialogue.
  • a speech synthesizer is applied to the output, but any device that can express words, such as a screen display, can be used.
  • the switching means 103 examines the word string of the input, refers to a prepared rule base, and detects a greeting, a call, a lack of sufficiency, and a time question.
  • the declarative words (nouns, adjectives, verbs) excluding particles and endings are sent to the chat-mode dialogue means as a parameter together with the discrimination result such as “sufficient”.
  • Figure 2 shows an example of a rule base to be referenced.
  • the analyzed word string data is sent to the general mode interaction means 105.
  • FIG. 4 shows the chat mode interaction means 104 in detail.
  • Rule selection means 401 Rule base 402, Response generation means 403, Timer Consisting of one 404.
  • the discrimination result and the parameter information transmitted from the switching means are input to the rule selection means 401.
  • the discrimination result is "not enough”
  • the parameter is "Hot.”
  • the rule selection means 401 refers to the rule base 402 and sends output sentence generation information to the response generation means 404.
  • Figure 2 shows an example of a rule base.
  • response generation means 404 if the input is "hot”, the rule shown in Fig. 2 is received and the response is generated as it is. If the input is "What time is it now?", The input time corresponding to the parameter value "Now" is obtained from the timer 404 and a response sentence "Time is X X minutes" is generated. The response sentence generated by the response generation means 404 is sent to the output means 1 7.
  • FIG. 5 shows the general mode interaction means 105 in detail.
  • Syntax information generation means 501 verb case list database 502, question sentence discrimination means 503, search means 504, general knowledge data base 505, knowledge generation means 506, Aiuchi It consists of generating means 507 and answer generating means 508.
  • the syntactic information generating means 501 extracts a verb from the word string data analyzed from the input sentence, calls the verb case list from the verb case list database 502, and calls the case information and the verb case list. It generates an object consisting of words and words that apply to the case (hereinafter referred to as “syntax information”).
  • the case that is not applied by the word data that is, the insufficient case information in which the insufficient case is detected is sent to the listening means 108.
  • the recall unit 108 refers to the rejection output sentence template (not shown) to generate and output a repetition sentence to the user, and prompts the user to input a reply. For example, if the underserved is a nominative, a return of "Who is it?" Power.
  • the reflection sentence is output, the input sentence from the user is directly input to the reflection answering means 109, and the word data that satisfies the insufficient case is extracted from the input sentence of the response.
  • the generated sentence information is determined by the question sentence determining means 503 as a question sentence or a positive sentence. If it is a question sentence, the search means 504 performs an object search on the general knowledge database 505 using this syntax information as a key, and the hit object is output to the answer generation means 508. send.
  • the answer generation means if the question is a question with a question, the word data corresponding to the case of the question is cut out from the hit object and an answer is generated by referring to a response template (not shown). If there is an object that hits as a result of the object search if the input sentence asks for the truth of the input sentence without question words, it is judged as true, and if not hit, it is judged as false.
  • the answer template that is not shown, if it is true, the answer sentence "Yes" is generated, and if it is false, the answer sentence "No, not correct” is generated and sent to the output means 107.
  • This question sentence becomes syntax information (object) of ⁇ action (line), nominative (Yoshida), destination (Shibuya), time (when) ⁇ by the syntax information generating means 501.
  • the search means 504 searches the general knowledge database 505 using ⁇ action (line), nominative (Yoshida), destination (Shibuya) ⁇ as a key. If there is no object to be hit, an answer sentence "I do not know about it" is generated by referring to an answer sentence template (not shown) and sent to the output means 107.
  • FIG. 6 shows the business mode interaction means 106 in detail.
  • the business keyword and the parameter information sent from the switching means 103 are sent to the business specifying means 603.
  • the business mode may be specified as necessary according to instructions from the business mode monitoring means.
  • the specified business mode is sent to the item monitoring means 604, where the parameter information is organized by business items extracted from the business keyword / business item list and used as business information objects. Generate.
  • the fact that the parameter information corresponding to the item in the item list is insufficient is referred to by the case list extraction means 6110 by referring to the case list buffer—609. If detected, the missing item is sent to the reflection means 108. Then, a reflection sentence is generated and output which prompts the user to input information corresponding to the insufficiency. Answers from the user are collected in the search condition collecting means 605 through the return answer means 109.
  • the case list is processed in random order processing means 606 Add case information to supplement the case list.
  • An object that satisfies all the case lists is temporarily stored in the search condition buffer 607, and the search / answer sentence generation means 608 searches the business knowledge database—the object base 611 for an object search. Generate answers from the business knowledge obtained. The generated answer is sent to the output unit 107 and displayed to the user using the speech synthesizer and the monitor.
  • the example sentence input to the input means 101 is sent to the analysis means 1102 as ⁇ adjective (red), Ending (i), noun (car), particle (o), verb (buy), ending (tai) ⁇ .
  • This analysis means is determined by the switching means 103 as the business mode, and ⁇ business mode (car, buy), parameter (red) ⁇ is sent to the business specifying means 603.
  • the task identification means refers to the task keywords and task item list (Fig. 3), identifies the task as “used car sales”, and uses the item monitoring means to identify the specific task “used car sales” as the item monitoring means. Send to 4.
  • the item list extraction means 610 obtains an item list (manufacturer, price, mission, color) by referring to the business keyword / business item list shown in FIG.
  • the word “color” in the item list fits the word “red”, but other items are missing items.
  • the item monitoring means 604 sends the missing items to the feedback means 108.
  • the feedback means 108 outputs a feedback sentence "Which manufacturer is it?" In accordance with a not-shown feedback sentence template.
  • the answer from the user matches the question item in the form of “ ⁇ product”, the missing item is complemented as it is.
  • the item list is currently out of order in the out-of-order processing means 606 (manufacturer, price, ), And obtains data called “manuals” that apply to the item “missions”.
  • the above questions / replies are repeated, and all the data fits in the business items in the form of ⁇ manufacturer-(production), price (300,000 yen), mission (manual), color (red) ⁇ .
  • the search / answer generation means 608 an object search is performed.
  • the knowledge of the used car that has been hit is output to the user's monitor (output means 107) as image data or video data.
  • FIG. 7 is a block diagram of a computer-based natural language dialogue method / system that can determine the status of a dialogue according to the second embodiment of the present invention.
  • R printed paper (Rule The system according to the present embodiment includes mode determination means 1 1 1, word decomposition 'mouth analysis means 1 1 2, word decomposition' noun extraction means 1 1 3, input sentence judgment means 1 1 4, case list confirmation means It is composed of 1 15, recalling means 1 16, input sentence processing means 1 17, and response means 1 18.
  • the mode determining means 111 switches the input mode in response to the notification from the input sentence processing means 117.
  • the mode is the normal mode, and an input sentence from an input device (keyboard, voice recognition device) not shown is sent to the word decomposition / oral analysis means 112.
  • the input sentence processing means 117 performs the question processing, and when there is a notice, the input sentence is sent to the word decomposition / noun extraction means 113 when the answer mode is set.
  • the word decomposition 'role analysis means 1 1 2 performs morphological analysis of the input sentence, and further performs syntax analysis.
  • An object consisting of a list of words to which syntactic information (hereinafter referred to as “roles”) is generated with reference to a syntactic rule and a verb case list database (not shown).
  • the input sentence "A of B is C.” is, according to the syntax rules, ⁇ subject mouth (a), data (A of B): complement role (none), de Ichiyu (C) : ⁇ Object.
  • ⁇ subject mouth (a) data (A of B): complement role (none), de Ichiyu (C) : ⁇ Object.
  • D goes to E”, referring to the case list of the detected verb (line), the object ⁇ verb (line), verbal (is), data (D), role ( ), And generate data (E) ⁇ .
  • the word decomposition / noun extraction means 113 extracts a word that is a noun from the words cut out with the part of speech information added as a result of the morphological analysis, and sends the word to the reflection replenishment means 116.
  • the input sentence judging means 1 14 detects the presence of “?”, “Ka” and question words at the end of the sentence, and the positive sentence goes to the case list checking means 115.
  • the question sentence is the input sentence processing means 1 17 And sends the input literary object.
  • the case list checking means 1 15 calls the case list from the detected verb from a database (not shown) and checks it against the syntax information of the words in the input sentence. If there is, recall the missing information and replenishment means 1 Send to 16 If there is no shortage, the input sentence object is sent to the input sentence processing means 117.
  • the recall supplementary means 1 16 will be described with reference to FIG. 8 showing the details. If an unsatisfied case is detected as a result of analyzing the input sentence accepted from the normal mode, the unsatisfied case information is sent from the case list checking means.
  • the insufficient case temporary holding means 2 11 1 stores the insufficient case information in the buffer 2 12 and sends the same information to the input sentence processing means 1 17.
  • a word (noun) as a response to the inquiry of a deficiency comes from the word decomposition / noun extraction means 113, and the replenishment means 213 is the simplest one.
  • the registration processing means 311 is judged as an affirmative sentence by the input sentence judging means 1 14, and passes through the case list checking means 1 15 and the recall supplementary means 1 16 to obtain a complete object with no shortage. Receive and register a new one by comparing it with the already registered knowledge. To register, enter “n e w”.
  • the search processing means 3 1 2 is turned into a question sentence by the input sentence judging means 1 14, and is activated when the presence of the question is detected by a question detection means (not shown). , "(Role (), data () ⁇ in knowledge database 3
  • the confirmation processing means 3 13 is activated when the input sentence determination means 1 14 determines that the question is a question sentence and the presence of a question word is not detected by a question word detection means (not shown). You. Match the input sentence object with the Knowledge Base 3 16 and notify the response means 1 18 of “yes” if they are the same and “no” otherwise. O
  • the question processing means 3 1 4 detects the missing case as a result of analyzing the input sentence accepted from the normal mode, and receives the missing case information via the case list checking means and the short case temporary holding means. Fired when The case particle "ha”, “ga”, “he”, “ni”, etc. is converted into the terms such as subject, destination, departure place, etc. using the conversion rules prepared in advance, and the response means. To send to.
  • the action execution processing means 3 15 is activated when a keyword (such as a verb) that specifies a preset action execution and the ending of a request such as “please” are detected as a result of analyzing the input sentence. I do. For example, if "Please give Mr. A f x a B" is input, the f a X program which has been set in advance is started and the document B is sent. Then, after the operation is completed, a keyword for designating the operation execution is notified to the response means 1 18.
  • a keyword such as a verb
  • the response means 1 18 consist of a companion preparation means 4 1 1, answer preparation means 4 1 2, yes / no response means 4 1 3, question preparation means 4 1 4, and report preparation means 4 1 5.
  • the companion creation means 4 1 1 Upon receiving the notification from the registration processing means 3 1 1, the companion creation means 4 1 1 receives a response “yes, I understand” if it is “new” and “listen” if it is “o 1 d”. Has been sent to output means 4 16.
  • the answer creating means 4 12 applies the answer sent from the search processing means to a fixed format of “It is (answer)” to create a response sentence.
  • the yes / no response creation means 4 13 sets the response sentence to “Yes” if the notification from the confirmation processing means is “yes”, and “No” if the notification is “no”.
  • the question creation means 4 14 applies the terms, such as the subject indicating the insufficiency and the place of departure or departure, sent from the question processing means to the fixed phrase "What is (term)?" Sentence).
  • the report creation means 4 15 receives the keyword notified from the action execution processing means.
  • a report (response sentence) is applied to the fixed sentence "(keyword)."
  • the output means 4 16 inputs the prepared response sentence to a speech synthesizer (not shown), and utters the answer as a voice from a speaker (not shown) to the user and answers.
  • the response sentence may be displayed on a monitor or the like.
  • the input sentence in the user's natural language is determined, and the input sentence is made to correspond by different kinds of dialogue means, and the correspondence as needed by the user is It is possible to have a conversation closer to those who can. Furthermore, by setting specific business knowledge, it is possible to supplement the user's ambiguous questions and present appropriate information to the user.
  • the input sentence in the natural language of the user can be displayed in the state of the dialogue (for example, whether the input sentence is an answer to the question asked by the system). Utterance status), the input mode can be switched to understand the input according to the status judgment, and analysis can be performed by switching the input mode. Furthermore, the sentence of the input sentence is determined, and appropriate work is performed. However, it is possible to have a dialog that is closer to a human dialog that can return an appropriate response sentence according to the execution to the user.

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  • Artificial Intelligence (AREA)
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Abstract

L'invention concerne un système de dialogue en langage naturel par un ordinateur, comprenant un moyen d'entrée (101), un moyen d'analyse (102), un moyen de commutation (103), un moyen de dialogue en mode interactif (104), un moyen de dialogue en mode général (105), un moyen de dialogue en mode commercial (106), un moyen de sortie (107), un moyen de demande en retour (108), et un moyen répondeur à demande en retour (109). La phrase en langue naturelle entrée par un utilisateur est interprétée. La réponse est fournie par la sélection d'un moyen de dialogue possédant des propriétés différentes et est préparée à l'avance. Si les informations comprises dans la phrase entrée sont insuffisantes, une question relative à ce point est posée pour compléter les information et une extraction est assurée, de sorte que les informations nécessaires soient présentées à l'utilisateur.
PCT/JP2000/004526 1999-07-06 2000-07-06 Systeme et procede de dialogue en langage naturel, par ordinateur et support enregistre WO2001003006A1 (fr)

Applications Claiming Priority (4)

Application Number Priority Date Filing Date Title
JP11191311A JP2001022763A (ja) 1999-07-06 1999-07-06 コンピュータによる自然語対話システム
JP11/191311 1999-07-06
JP29911899A JP2001117923A (ja) 1999-10-21 1999-10-21 コンピュータによる自然語対話システム
JP11/299118 1999-10-21

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Cited By (1)

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CN110851579A (zh) * 2019-11-06 2020-02-28 杨鑫蛟 用户意图识别方法、系统、移动终端及存储介质

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