@inproceedings{wang-etal-2021-ji-yu-ci,
title = "基于词汇链强化表征的篇章修辞结构分析研究(Lexical Chain Based Strengthened Representation for Discourse Rhetorical Structure Parsing)",
author = "Wang, Jinfeng and
Kong, Fang",
editor = "Li, Sheng and
Sun, Maosong and
Liu, Yang and
Wu, Hua and
Liu, Kang and
Che, Wanxiang and
He, Shizhu and
Rao, Gaoqi",
booktitle = "Proceedings of the 20th Chinese National Conference on Computational Linguistics",
month = aug,
year = "2021",
address = "Huhhot, China",
publisher = "Chinese Information Processing Society of China",
url = "https://aclanthology.org/2021.ccl-1.43/",
pages = "467--476",
language = "zho",
abstract = "篇章分析作为自然语言处理领域的基础问题一直广受关注。由于语料规模有限,绝大多数已有研究仍依赖于外部特征的加入。针对该问题,本文提出了提出一种通用的表征增强方法,借助图卷积神经网络将词汇链信息融入到基本篇章单元的表征中。在RST-DT和CDTB上的实验证明,本文提出的表征增强方法能够提升多种篇章解析器的性能。"
}
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%0 Conference Proceedings
%T 基于词汇链强化表征的篇章修辞结构分析研究(Lexical Chain Based Strengthened Representation for Discourse Rhetorical Structure Parsing)
%A Wang, Jinfeng
%A Kong, Fang
%Y Li, Sheng
%Y Sun, Maosong
%Y Liu, Yang
%Y Wu, Hua
%Y Liu, Kang
%Y Che, Wanxiang
%Y He, Shizhu
%Y Rao, Gaoqi
%S Proceedings of the 20th Chinese National Conference on Computational Linguistics
%D 2021
%8 August
%I Chinese Information Processing Society of China
%C Huhhot, China
%G zho
%F wang-etal-2021-ji-yu-ci
%X 篇章分析作为自然语言处理领域的基础问题一直广受关注。由于语料规模有限,绝大多数已有研究仍依赖于外部特征的加入。针对该问题,本文提出了提出一种通用的表征增强方法,借助图卷积神经网络将词汇链信息融入到基本篇章单元的表征中。在RST-DT和CDTB上的实验证明,本文提出的表征增强方法能够提升多种篇章解析器的性能。
%U https://aclanthology.org/2021.ccl-1.43/
%P 467-476
Markdown (Informal)
[基于词汇链强化表征的篇章修辞结构分析研究(Lexical Chain Based Strengthened Representation for Discourse Rhetorical Structure Parsing)](https://aclanthology.org/2021.ccl-1.43/) (Wang & Kong, CCL 2021)
ACL