@inproceedings{ecb697181ac741fcab4687aac26659b5,
title = "HIT-CIR: An unsupervised WSD system based on domain most frequent sense estimation",
abstract = "This paper presents an unsupervised system for all-word domain specific word sense disambiguation task. This system tags target word with the most frequent sense which is estimated using a thesaurus and the word distribution information in the domain. The thesaurus is automatically constructed from bilingual parallel corpus using paraphrase technique. The recall of this system is 43.5\% on SemEval-2 task 17 English data set.",
author = "Yuhang Guo and Wanxiang Che and Wei He and Ting Liu and Sheng Li",
note = "Publisher Copyright: {\textcopyright} 2010 Association for Computational Linguistics.; 5th International Workshop on Semantic Evaluation, SemEval 2010 ; Conference date: 15-07-2010 Through 16-07-2010",
year = "2010",
language = "English",
series = "ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings",
publisher = "Association for Computational Linguistics (ACL)",
pages = "407--410",
booktitle = "ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings",
address = "United States",
}