Paper: A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction

ACL ID P12-2010
Title A Graph-based Cross-lingual Projection Approach for Weakly Supervised Relation Extraction
Venue Annual Meeting of the Association of Computational Linguistics
Session Short Paper
Year 2012
Authors

Although researchers have conducted exten- sive studies on relation extraction in the last decade, supervised approaches are still limited because they require large amounts of training data to achieve high performances. To build a relation extractor without significant anno- tation effort, we can exploit cross-lingual an- notation projection, which leverages parallel corpora as external resources for supervision. This paper proposes a novel graph-based pro- jection approach and demonstrates the mer- its of it by using a Korean relation extrac- tion system based on projected dataset from an English-Korean parallel corpus.