An intelligent question answering method based on task-driven multi-round conversation

An intelligent question-and-answer and task-driven technology, applied in the field of human-computer interaction, can solve problems such as complex task customization, multiple rule conflicts, and difficult corpus acquisition, achieving the effect of improving the probability of success and ensuring correctness

Inactive Publication Date: 2019-03-08
INSPUR SOFTWARE CO LTD
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Problems solved by technology

[0005] However, the multi-round conversational interaction system through manual definition of rules is more complicated in task customization, and it is prone to conflicts of multiple rules; the statistical dialogue system based on reinforc

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  • An intelligent question answering method based on task-driven multi-round conversation

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Embodiment 1

[0047] An intelligent question-and-answer method based on task-driven multi-round dialogue of the present invention is supported by existing artificial intelligence technology, and integrates a question-and-answer system based on structured data, a question-and-answer system based on free text, and a question-and-answer system based on "question-answer pairs" The core technology in the system and other implementation methods can support upper-level applications such as chatting, personal assistants, and online customer service; through the fusion of massive heterogeneous hypermedia data, it can be aggregated into a data warehouse for an intelligent question answering system; with entities, events, documents, and relationships as the core Based on the elements, build a knowledge map. An intelligent response system must first have data, which can come from Internet crawling, existing knowledge bases (FAQ), or specific corpus, which involves the design of data sources, acquisition...

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Abstract

The invention discloses an intelligent question answering method based on task-driven multi-round dialogue. The specific method comprises preparing data according to different tasks; obtaining intention classification model and element extraction model through training; promoting each round of dialogue through multi-round dialogue management mechanism and decision-making mechanism to complete theintelligent question answering method; wherein the intention classification model and element extraction model are used to analyze the intention and key elements of the user's questions or answers. The multi-round dialogue management mechanism and the decision-making mechanism are used for effectively assisting a user to complete multi-round dialogues around a task by continuously making decisionson the next optimal action to be taken according to the current state. Compared with the prior art, the intelligent question answering method based on task-driven multi-round dialogue realizes automatic initiation, guidance and multi-round dialogue within a limited range, improves the success probability of human-computer interaction, and can meet the requirements of people for obtaining information quickly and accurately.

Description

technical field [0001] The invention belongs to the field of human-computer interaction, relates to natural language processing, knowledge management, question answering system, etc., and in particular relates to a task-driven multi-round dialogue method and system. Background technique [0002] An intelligent question answering system is an automaton that can answer questions in any natural language form. For a specified question, by analyzing semantic information, it can find the correct answer in a large-scale real online text, instead of returning several web pages like a keyword search engine composed list. An important function in intelligent question answering is multi-round interaction based on contextual dialogue scenarios, which is also one of its difficulties. [0003] In practical applications, the intelligent question answering system is not a simple question and answer, but may be complex process-based knowledge. Among them, Dialog Management (Dialog Manageme...

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Application Information

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IPC IPC(8): G06F16/332G06F16/35G06F16/36G06F17/27
CPCG06F40/30
Inventor 郭运艳李明明曾光潘心冰
Owner INSPUR SOFTWARE CO LTD
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