Abstract
In this paper, we propose a novel ranking framework - Co-Feedback Ranking (Co-FRank), which allows two base rankers to supervise each other during the ranking process by providing their own ranking results as feedback to the other parties so as to boost the ranking performance. The mutual ranking refinement process continues until the two base rankers cannot learn from each other any more. The overall performance is improved by the enhancement of the base rankers through the mutual learning mechanism. We apply this framework to the sentence ranking problem in query-focused summarization and evaluate its effectiveness on the DUC 2005 data set. The results are promising.
| Original language | English |
|---|---|
| Title of host publication | ACL-IJCNLP 2009 - Joint Conf. of the 47th Annual Meeting of the Association for Computational Linguistics and 4th Int. Joint Conf. on Natural Language Processing of the AFNLP, Proceedings of the Conf. |
| Pages | 117-120 |
| Number of pages | 4 |
| Publication status | Published - 1 Dec 2009 |
| Event | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 - Suntec, Singapore Duration: 2 Aug 2009 → 7 Aug 2009 |
Conference
| Conference | Joint Conference of the 47th Annual Meeting of the Association for Computational Linguistics and 4th International Joint Conference on Natural Language Processing of the AFNLP, ACL-IJCNLP 2009 |
|---|---|
| Country/Territory | Singapore |
| City | Suntec |
| Period | 2/08/09 → 7/08/09 |
ASJC Scopus subject areas
- Language and Linguistics
- Linguistics and Language