Paper: Transformation Based Chinese Entity Detection and Tracking

ACL ID I05-2040
Title Transformation Based Chinese Entity Detection and Tracking
Venue International Joint Conference on Natural Language Processing
Session poster-demo-tutorial
Year 2005
Authors

This paper proposes a unified Transformation Based Learning (TBL, Brill, 1995) framework for Chinese Entity Detection and Tracking (EDT). It consists of two sub models: a mention detection model and an entity tracking/coreference model. The first sub-model is used to adapt existing Chinese word segmentation and Named Entity (NE) recognition results to a specific EDT standard to find all the mentions. The second sub-model is used to find the coreference relation between the mentions. In addition, a feedback technique is proposed to further improve the performance of the system. We evaluated our methods on the Automatic Content Extraction (ACE, NIST, 2003) Chinese EDT corpus. Results show that it outperforms the baseline, and achieves comparable performance with the state- of-the-art methods...