HANS: A service-oriented framework for chinese language processing

Lung Hao Lee*, Kuei Ching Lee, Yuen Hsien Tseng

*此作品的通信作者

研究成果: Conference contribution同行評審

摘要

A service-oriented architecture called as HANS is proposed to facilitate Chinese natural language processing. This unified framework seamlessly integrates fundamental NLP tasks including word segmentation, part-of-speech tagging, named entity recognition, chunking, paring, and semantic role labeling to enhance Chinese language processing functionality. A basic Chinese word segmentation task is used to illustrate the function of the proposed architecture. to demonstrate the effects. Evaluated benchmarks are taken from the SIGHAN 2005 bakeoff and the NLPCC 2016 shared task. We implement publicly released toolkits including Stanford CoreNLP, FudanNLP and CKIP as services in our HANS framework for performance comparison. Experimental results confirm the feasibility of the proposed architecture. Findings are also discussed to point to potential future developments.

原文English
主出版物標題Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers
編輯Alexander Gelbukh
發行者Springer Verlag
頁面134-142
頁數9
ISBN(列印)9783319771120
DOIs
出版狀態Published - 2018
事件18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 - Budapest, 匈牙利
持續時間: 17 4月 201723 4月 2017

出版系列

名字Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10761 LNCS
ISSN(列印)0302-9743
ISSN(電子)1611-3349

Conference

Conference18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017
國家/地區匈牙利
城市Budapest
期間17/04/1723/04/17

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