Paper: Active Learning for Coreference Resolution

ACL ID N12-1055
Title Active Learning for Coreference Resolution
Venue Annual Conference of the North American Chapter of the Association for Computational Linguistics
Session Main Conference
Year 2012

We present an active learning method for coreference resolution that is novel in three re- spects. (i) It uses bootstrapped neighborhood pooling, which ensures a class-balanced pool even though gold labels are not available. (ii) It employs neighborhood selection, a selection strategy that ensures coverage of both posi- tive and negative links for selected markables. (iii) It is based on a query-by-committee selec- tion strategy in contrast to earlier uncertainty sampling work. Experiments show that this new method outperforms random sampling in terms of both annotation effort and peak per- formance.