Abstract
This paper presents a novel sentence clustering scheme based on projecting sentences over term clusters. The scheme incorporates external knowledge to overcome lexical variability and small corpus size, and outperforms common sentence clustering methods on two reallife industrial datasets.
Original language | English |
---|---|
Title of host publication | Proceedings of the Main Conference and the Shared Task |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 38-43 |
Number of pages | 6 |
ISBN (Electronic) | 9781937284213 |
State | Published - 2012 |
Event | 1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 - Montreal, Canada Duration: 7 Jun 2012 → 8 Jun 2012 |
Publication series
Name | *SEM 2012 - 1st Joint Conference on Lexical and Computational Semantics |
---|---|
Volume | 1 |
Conference
Conference | 1st Joint Conference on Lexical and Computational Semantics, *SEM 2012 |
---|---|
Country/Territory | Canada |
City | Montreal |
Period | 7/06/12 → 8/06/12 |
Bibliographical note
Publisher Copyright:© 2012 Association for Computational Linguistics.