Implicit discourse relation recognition with multi-view contrastive learningdoi:10.3969/j.issn.1007-130X.2024.04.016Previous researches on implicit discourse relationship recognition (IDRR) usually focus on designing effective discourse encoders. Different from theirs, this...
本文是在隐性语篇关系识别(implicit discourse relation recognition,IDRR)这个任务上展开实验,目的是识别文档中相邻语篇跨度之间的关系。这里举了一个例子。 Argument 1: Never mind. Argument 2: You already know the answer 对于这两个文本跨度(text span),称为参数,IDRR模型应该将参数2识别为参数1的原因。 这个...
论文阅读(12)Implicit Discourse Relation Detection via a Deep Architecture with Gated Relevance Network...,程序员大本营,技术文章内容聚合第一站。
Motivation 数据稀疏问题、缺乏衡量单词对语义关系的指标。 distributed word representations处理数据稀疏问题有优势,深度学习模型在文本语义匹配上取得进展。 使用 word embeddings 作为输入 Gate relevance network捕捉单词对之
Implicit discourse relation recognition (DRR) is a task of automatically identifying the internal structure and logical relation of a coherent text without discourse connectives. DRR plays a vital role in a variety of nature language processing applications, such as question answering [1], information...
- Meeting of the Special Interest Group on Discourse & Dialogue 被引量: 25发表: 2010年 Deep Enhanced Representation for Implicit Discourse Relation Recognition Zhao, HaiBai, H., Zhao, H.: Deep enhanced representation for implicit discourse relation recognition. In: Proceedings of the 27th ...
Parsing a text into a set of discourse relations between two adjacent or non-adjacent discourse units in the absence of explicit connectives, such as 'but' or 'however', and classifying those relations. (Source: Adapted from https://www.cs.brandeis.edu/~clp/conll15st/intro.html) ...
Implicit discourse relation classification is of great challenge due to the lack of connectives as strong linguistic cues, which motivates the use of annotated implicit connectives to improve the recognition. We propose a feature imitation framework in which an implicit relation network is driven to ...
Discourse analysisLinguistically informed features are provably useful in classifying implicit discourse relations among adjacent text spans. However the state of the art methods in this area suffer from either sparse natively implicit relation corpus or counter-intuitive artificially implicit one, and ...