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Construction method of question-answering system based on document set multi-hop reasoning

A question answering system and construction method technology, applied in reasoning methods, electronic digital data processing, natural language data processing and other directions, can solve the problems of limited data understanding and inference, and achieve the goal of saving training time, good question answering effect, and improved reasoning clues. Effect

Pending Publication Date: 2020-08-14
BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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Problems solved by technology

Therefore, models implemented on existing MRC datasets have limited understanding and inference of the data

Method used

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  • Construction method of question-answering system based on document set multi-hop reasoning
  • Construction method of question-answering system based on document set multi-hop reasoning
  • Construction method of question-answering system based on document set multi-hop reasoning

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Embodiment Construction

[0060] The following will be combined with the accompanying drawings in the embodiments of the present invention; the technical solutions in the embodiments of the present invention will be clearly and completely described; obviously; the described embodiments are only some embodiments of the present invention; rather than all embodiments, based on The embodiments in the present invention; all other embodiments obtained by those skilled in the art without creative efforts; all belong to the protection scope of the present invention.

[0061] A method for constructing a question answering system based on document set multi-hop reasoning, comprising the following steps:

[0062] 1. Data collection and labeling

[0063] 11. Build a Baidu Encyclopedia hyperlink map. In this Baidu Encyclopedia document library, we made two observations:

[0064] 111. Hyperlinks in Baidu Encyclopedia articles usually naturally include the relationship between two entities (which have been disambigu...

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Abstract

The invention discloses a construction method of a question-answering system based on document set multi-hop reasoning. The invention belongs to the technical field of natural language processing. Themethod comprises a training stage and an operation stage; in the training stage, question and answer pairs and support facts which need to take a plurality of scattered texts in a plurality of documents as support evidences are collected to form a training set, related support entities and answers are found from a given document, and a model is optimized by using a back propagation algorithm after comparison; and in the operation stage, corresponding answer prediction values and support facts are fed back to the user through the client and the server. In the construction method, the finally collected data is presented in the form of natural language based on documents instead of knowledge base questions and answers, the content and difficulty are diversified, the training time of the model can be effectively saved, dynamic reasoning is carried out on the GNN graph network, the sequence information of the text is well extracted, and the questioning and answering effect is better.

Description

technical field [0001] The present invention relates to the technical field of natural language processing, and more specifically, relates to a construction method of a question answering system based on document set multi-hop reasoning. Background technique [0002] At present, deep learning has achieved fruitful results in the fields of image recognition, speech recognition, etc., and machine reading comprehension has become a new hot spot in the field of artificial intelligence research and application. Machine reading comprehension has high research value in both industry and academia. It enables computers to help humans find the answers they want in a large amount of text, thereby reducing the cost of people's acquisition of information. Perhaps, the future search engine will not only return user-related links and web pages, but will directly return the answer to the user by reading and comprehending the massive resources on the Internet. In the current mainstream ques...

Claims

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Application Information

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IPC IPC(8): G06F16/332G06F16/35G06N5/04G06F40/295
CPCG06F16/3329G06F16/355G06N5/045Y02D10/00
Inventor 杨洋刘宏志张涛
Owner BEIJING TECHNOLOGY AND BUSINESS UNIVERSITY
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