文本蕴涵识别方法研究

Chenglong Wang, Chunyang Wang, Huimin Li, Tong Liu, Shuang Guo
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引用次数: 0

摘要

文本隐含识别的目的是判断文本两段之间的语义和逻辑关系。推理过程包括句法分析、词汇理解、逻辑推理、社会经验和常识。这是一种判断计算机是否达到一定程度的方法。“理解”文本语义这一具有挑战性的研究任务也是自然语言处理领域中较为重要的基准任务之一。研究发现,近十年来,该领域的出版物总数逐年增加,知名度也在不断提高。目前主要有基于相似度的文本隐含关系识别方法、基于对齐的文本隐含关系识别方法和深度神经网络。文本隐含关系识别方法。本文总结了不同的方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Research on Recognition Method of Textual Implication
Text implication recognition aims to judge the semantic and logical relationship between two paragraphs of text. The reasoning process involves syntactic analysis, vocabulary understanding, logical reasoning, social experience, and common sense. It is a way to judge whether the computer is to a certain extent. The challenging research task of "understanding" text semantics is also one of the more important benchmark tasks in the field of natural language processing. It is found that in the past ten years, the total number of publications in this field has been increasing year by year, and the popularity is also increasing. At present, there are mainly text implication relationship recognition methods based on similarity, text implication relationship recognition methods based on alignment, and deep neural networks. The textual implication relationship recognition method. This article summarizes the different methods.
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