Paper: A Sequence Labelling Approach to Quote Attribution

ACL ID D12-1072
Title A Sequence Labelling Approach to Quote Attribution
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2012
Authors

Quote extraction and attribution is the task of automatically extracting quotes from text and attributing each quote to its correct speaker. The present state-of-the-art system uses gold standard information from previous decisions in its features, which, when removed, results in a large drop in performance. We treat the problem as a sequence labelling task, which allows us to incorporate sequence features without using gold standard information. We present results on two new corpora and an aug- mented version of a third, achieving a new state-of-the-art for systems using only realis- tic features.