Text analysis method, device, medium and computing device for multi-party dialogue

An analysis method and text technology, applied in the field of multi-party dialogue text analysis methods, devices, media and computing equipment, can solve the problem of inaccurate analysis results, and achieve the effect of improving the analysis results

Active Publication Date: 2021-07-20
TSINGHUA UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In this context, the embodiments of the present invention expect to provide a text analysis method, device, medium and computing device for multi-party dialogue, so as to at least solve the analysis results of the existing text analysis methods in the multi-party dialogue scenario when performing text analysis inaccurate question

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  • Text analysis method, device, medium and computing device for multi-party dialogue
  • Text analysis method, device, medium and computing device for multi-party dialogue
  • Text analysis method, device, medium and computing device for multi-party dialogue

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Embodiment Construction

[0060] The principle and spirit of the present invention will be described below with reference to several exemplary embodiments. It should be understood that these embodiments are given only to enable those skilled in the art to better understand and implement the present invention, rather than to limit the scope of the present invention in any way. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.

[0061] Those skilled in the art know that the embodiments of the present invention can be implemented as a system, device, device, method or computer program product. Therefore, the present disclosure may be embodied in the form of complete hardware, complete software (including firmware, resident software, microcode, etc.), or a combination of hardware and software.

[0062] According to the embodiments of the present invention, a text analysis method, devi...

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Abstract

Embodiments of the present invention provide a text analysis method, device, medium and computing equipment for multi-party dialogue. The method includes: obtaining an EDU sequence; sequentially processing each EDU in the EDU sequence according to the speaking order, wherein, in the processing for the current EDU: according to the unstructured characteristics of the current EDU and the characteristics of each EDU before the current EDU Unstructured features and structured features, the degree of dependence between the current EDU and each EDU before the current EDU is obtained through the first multi-layer neural network, and the degree of dependence between the multiple EDUs before the current EDU and the current EDU The largest EDU, as the parent EDU of the current EDU, and constructing dependent links between the current EDU and its parent EDU, to determine the current parsed discourse structure and obtain the structural features of the current EDU based on the constructed dependent links. The above technology of the present invention can realize discourse analysis in a multi-party dialogue scenario, and the analysis result can be significantly improved compared with the prior art.

Description

technical field [0001] Embodiments of the present invention relate to the field of electronic information, and more specifically, embodiments of the present invention relate to a text analysis method, device, medium, and computing device for multi-party dialogue. Background technique [0002] Natural Language Processing (Natural Language Processing, NLP) is a subfield of artificial intelligence, and it is also one of the most difficult problems in the field of artificial intelligence. The research on natural language processing is full of charm and challenges. [0003] For various NLP tasks such as dialogue understanding, question answering, sentiment analysis, etc., text structure is undoubtedly extremely important. Discourses can usually be divided into clause-level units, called Elementary Discourse Units (EDUs), and EDUs are the most basic units in discourse analysis. Therefore, the higher the accuracy of discourse parsing, the more beneficial it is for various NLP task...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F40/211G06F40/30
CPCG06F40/211G06F40/30
Inventor 黄民烈朱小燕
Owner TSINGHUA UNIV
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