基于结构检索的汉语介动搭配知识库构建(Construction of Preposition-verb Knowledge Base Based on Structure Retrieval)

Chengwen Wang (王诚文), Gaoqi Rao (饶高琦), Endong Xun (荀恩东)


Abstract
以往的介词知识库构建重视介词语义和介宾的搭配研究,鲜有对介动搭配进行系统研究及知识获取的工作。而汉语介词发达及动词是句子中心的特征决定了介动搭配研究的重要性。本研究基于结构检索技术,充分借助短语结构属性和结构信息,从大规模语料中抽取介动搭配16033对。并提出了介动搭配紧密度的度量方法,初步分析证明其远优于依靠绝对频次进行搭配度量的方法。
Anthology ID:
2021.ccl-1.47
Volume:
Proceedings of the 20th Chinese National Conference on Computational Linguistics
Month:
August
Year:
2021
Address:
Huhhot, China
Venue:
CCL
SIG:
Publisher:
Chinese Information Processing Society of China
Note:
Pages:
513–524
Language:
Chinese
URL:
https://aclanthology.org/2021.ccl-1.47
DOI:
Bibkey:
Cite (ACL):
Chengwen Wang, Gaoqi Rao, and Endong Xun. 2021. 基于结构检索的汉语介动搭配知识库构建(Construction of Preposition-verb Knowledge Base Based on Structure Retrieval). In Proceedings of the 20th Chinese National Conference on Computational Linguistics, pages 513–524, Huhhot, China. Chinese Information Processing Society of China.
Cite (Informal):
基于结构检索的汉语介动搭配知识库构建(Construction of Preposition-verb Knowledge Base Based on Structure Retrieval) (Wang et al., CCL 2021)
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PDF:
https://aclanthology.org/2021.ccl-1.47.pdf