Paper: A Joint Model for Quotation Attribution and Coreference Resolution

ACL ID E14-1005
Title A Joint Model for Quotation Attribution and Coreference Resolution
Venue Annual Meeting of The European Chapter of The Association of Computational Linguistics
Session Main Conference
Year 2014
Authors

We address the problem of automatically attributing quotations to speakers, which has great relevance in text mining and me- dia monitoring applications. While cur- rent systems report high accuracies for this task, they either work at mention- level (getting credit for detecting uninfor- mative mentions such as pronouns), or as- sume the coreferent mentions have been detected beforehand; the inaccuracies in this preprocessing step may lead to error propagation. In this paper, we introduce a joint model for entity-level quotation attri- bution and coreference resolution, exploit- ing correlations between the two tasks. We design an evaluation metric for attribu- tion that captures all speakers? mentions. We present results showing that both tasks benefit from being treated jointly.