Abstract
We propose an event-enriched model to alleviate the semantic deficiency problem in the IR-style text processing and apply it to sentence ordering for multi-document news summarization. The ordering algorithm is built on event and entity coherence, both locally and globally. To accommodate the eventenriched model, a novel LSA-integrated two-layered clustering approach is adopted. The experimental result shows clear advantage of our model over event-agonistic models.
Original language | English |
---|---|
Title of host publication | Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference |
Pages | 1489-1497 |
Number of pages | 9 |
Publication status | Published - 1 Dec 2010 |
Event | 23rd International Conference on Computational Linguistics, Coling 2010 - Beijing, China Duration: 23 Aug 2010 → 27 Aug 2010 |
Conference
Conference | 23rd International Conference on Computational Linguistics, Coling 2010 |
---|---|
Country/Territory | China |
City | Beijing |
Period | 23/08/10 → 27/08/10 |
ASJC Scopus subject areas
- Language and Linguistics
- Computational Theory and Mathematics
- Linguistics and Language