Syntactic relationship enhanced machine reading understanding multi-hop reasoning model and method

A technology of reading comprehension and reasoning methods, which is applied in the field of machine reading comprehension multi-hop reasoning models, which can solve problems such as poor performance of answering methods and inaccurate answer basis, and achieve the effect of improving interpretability and improving answering methods
CN112417104AActive Publication Date: 2021-02-26SHANXI UNIV
14 Cites 18 Cited by

Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
SHANXI UNIV
Publication Date
2021-02-26

Smart Images

  • Figure 1
    Figure 1
  • Figure 2
    Figure 2
  • Figure 3
    Figure 3
Patent Text Reader

Abstract

The invention relates to the fields of deep learning, natural language processing and the like, and particularly relates to a syntactic relationship enhanced machine reading understanding multi-hop reasoning model and method. The model comprises a text coding module, an association element relationship graph construction module, a multi-hop reasoning module, an answer generation module and an answer prediction module. According to the invention, syntactic relationships are fused into the graph construction process, an associated element relationship graph is constructed, multi-hop reasoning iscarried out by utilizing a graph attention network based on the relationship graph, and answer support sentences are mined; meanwhile, a multi-head self-attention mechanism is introduced to further mine text clues of viewpoint type questions in the article, and an automatic solution method of the viewpoint type questions is improved; and finally, a plurality of tasks are subjected to joint optimization learning, so that when the model answers the questions, fact description for supporting the answers can be given, the interpretability of the model is improved, and meanwhile, the existing answering method for viewpoint type questions is improved.
Need to check novelty before this filing date? Find Prior Art

Description

technical field

[0001] The invention relates to the fields of deep learning, natural language processing, etc., and in particular to a multi-hop reasoning model and method for machine reading comprehension with enhanced syntactic relations. Background technique

[0002] Machine Reading Comprehension (MRC) is an important research task to understand the semantics of articles and answer related questions through computers. The research on machine reading comprehension plays an important role in improving the machine's natural language understanding ability. widespread concern in the industry. Early machine reading comprehension research mainly adopted the method based on artificial rule bases. The establishment and maintenance of rule bases usually required a lot of manpower, and it was difficult to answer questions other than rules. In recent years, with the rapid development of machine learning, especially deep learning, the automatic answering effect of machine reading com...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to View More