@inproceedings{70d97b6882e94ecab9125939199c88b1,
title = "HANS: A service-oriented framework for chinese language processing",
abstract = "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.",
keywords = "Chinese natural language processing, Chinese word segmentation, Service-oriented architecture",
author = "Lee, {Lung Hao} and Lee, {Kuei Ching} and Tseng, {Yuen Hsien}",
note = "Publisher Copyright: {\textcopyright} Springer Nature Switzerland AG 2018.; 18th International Conference on Computational Linguistics and Intelligent Text Processing, CICLing 2017 ; Conference date: 17-04-2017 Through 23-04-2017",
year = "2018",
doi = "10.1007/978-3-319-77113-7_11",
language = "???core.languages.en_GB???",
isbn = "9783319771120",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "134--142",
editor = "Alexander Gelbukh",
booktitle = "Computational Linguistics and Intelligent Text Processing - 18th International Conference, CICLing 2017, Revised Selected Papers",
}