A Sequence Labelling Approach to Quote Attribution
Timothy William O'Keefe, Silvia Pareti, James Curran, Irena Koprinska, Matthew Honnibal · Empirical Methods in Natural Language Processing · 2012
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 augmented version of a third, achieving a new state-of-the-art for systems using only realistic features.