Abstract
Relation extraction is the task of finding semantic relations between two entities from text. In this paper, we propose a novel feature-based Chinese relation extraction approach that explicitly defines and explores nine positional structures between two entities. We also suggest some correction and inference mechanisms based on relation hierarchy and co-reference information etc. The approach is effective when evaluated on the ACE 2005 Chinese data set.
| Original language | English |
|---|---|
| Pages (from-to) | 89-92 |
| Number of pages | 4 |
| Journal | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
| Publication status | Published - 2008 |
| Event | 46th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL 2008 - Columbus, United States Duration: 16 Jun 2008 → 17 Jun 2008 |
ASJC Scopus subject areas
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics