Paper: Enhancing Mention Detection Using Projection via Aligned Corpora

ACL ID D10-1097
Title Enhancing Mention Detection Using Projection via Aligned Corpora
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2010
Authors

The research question treated in this paper is centered on the idea of exploiting rich re- sources of one language to enhance the per- formance of a mention detection system of an- other one. We successfully achieve this goal by projecting information from one language to another via a parallel corpus. We exam- ine the potential improvement using various degrees of linguistic information in a statisti- cal framework and we show that the proposed technique is effective even when the target language model has access to a significantly rich feature set. Experimental results show up to 2.4F improvement in performance when the system has access to information obtained by projecting mentions from a resource-rich- language mention detection system via a par- allel corpus.