Paper: Dynamic Knowledge-Base Alignment for Coreference Resolution

ACL ID W13-3517
Title Dynamic Knowledge-Base Alignment for Coreference Resolution
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2013
Authors

Coreference resolution systems can benefit greatly from inclusion of global context, and a number of recent approaches have demonstrated improvements when precom- puting an alignment to external knowledge sources. However, since alignment itself is a challenging task and is often noisy, ex- isting systems either align conservatively, resulting in very few links, or combine the attributes of multiple candidates, leading to a conflation of entities. Our approach instead performs joint inference between within-document coreference and entity linking, maintaining ranked lists of candi- date entities that are dynamically merged and reranked during inference. Further, we incorporate a large set of surface string vari- ations for each entity by using anchor texts from the web that link to the ent...