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.
| Original language | English |
|---|---|
| Title of host publication | ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 407-410 |
| Number of pages | 4 |
| ISBN (Electronic) | 1932432701, 9781932432701 |
| Publication status | Published - 2010 |
| Externally published | Yes |
| Event | 5th International Workshop on Semantic Evaluation, SemEval 2010 - Uppsala, Sweden Duration: 15 Jul 2010 → 16 Jul 2010 |
Publication series
| Name | ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings |
|---|
Conference
| Conference | 5th International Workshop on Semantic Evaluation, SemEval 2010 |
|---|---|
| Country/Territory | Sweden |
| City | Uppsala |
| Period | 15/07/10 → 16/07/10 |
Fingerprint
Dive into the research topics of 'HIT-CIR: An unsupervised WSD system based on domain most frequent sense estimation'. Together they form a unique fingerprint.Cite this
Guo, Y., Che, W., He, W., Liu, T., & Li, S. (2010). HIT-CIR: An unsupervised WSD system based on domain most frequent sense estimation. In ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings (pp. 407-410). (ACL 2010 - SemEval 2010 - 5th International Workshop on Semantic Evaluation, Proceedings). Association for Computational Linguistics (ACL).