@inproceedings{2d80692789bf4494873e9e27bdf73cb7,
title = "Chinese terminology extraction using EM-based transfer learning method",
abstract = "As an important part of information extraction, terminology extraction attracts more attention. Currently, statistical and rule-based methods are used to extract terminologies in a specific domain. However, cross-domain terminology extraction task has not been well addressed yet. In this paper we propose using EM-based transfer learning method for cross-domain Chinese terminology extraction. Firstly, a naive bayes model is learned from source domain. Then EM-based transfer learning algorithm is used to adapt the classifier learnt from source domain to target domain, which is in different data distribution and domain from source domain. The advantage of our proposed method is to enable the target domain to utilize the knowledge from the source domain. Experimental results between computer domain and environment domain show the proposed Chinese terminology extraction with EM-based transfer learning method outperforms traditional statistical terminology extraction method significantly.",
keywords = "Chinese, EM, Terminology Extraction, Transfer Learning",
author = "Yanxia Qin and Dequan Zheng and Tiejun Zhao and Min Zhang",
year = "2013",
doi = "10.1007/978-3-642-37247-6\_12",
language = "英语",
isbn = "9783642372469",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
number = "PART 1",
pages = "139--152",
booktitle = "Computational Linguistics and Intelligent Text Processing - 14th International Conference, CICLing 2013, Proceedings",
address = "德国",
edition = "PART 1",
note = "14th Annual Conference on Intelligent Text Processing and Computational Linguistics, CICLing 2013 ; Conference date: 24-03-2013 Through 30-03-2013",
}