A CRF method of identifying prepositional phrases in Chinese patent texts

Hongzheng Li, Yaohong Jin

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper presents a Conditional Random Field (CRF) method of identifying prepositional phrases (PP) in Chinese patent documents. By using the CRF model, the identification process can be recognized as sequence labelling issue. After analyzing the characteristics of PP chunks in large scale corpus, we design several essential and helpful features and feature templates for recognizing PP chunks, and then use a CRF toolkit to train the model to identify PPs. At last, some experiments are conducted to justify the effects of the model, both the precision and recall rates are over 92%, higher than the baseline, indicating the method is reasonable and effective.

Original languageEnglish
Title of host publicationProceedings of the 8th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2015 - co-located with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL IJCNLP 2015
EditorsLiang-Chih Yu, Zhifang Sui, Yue Zhang, Vincent Ng
PublisherAssociation for Computational Linguistics (ACL)
Pages86-90
Number of pages5
ISBN (Electronic)9781941643570
Publication statusPublished - 2015
Externally publishedYes
Event8th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2015 - Beijing, China
Duration: 30 Jul 201531 Jul 2015

Publication series

NameProceedings of the 8th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2015 - co-located with 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing, ACL IJCNLP 2015

Conference

Conference8th SIGHAN Workshop on Chinese Language Processing, SIGHAN 2015
Country/TerritoryChina
CityBeijing
Period30/07/1531/07/15

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