Towards a General Model of Answer Typing: Question Focus Identification

Abstract

Abstract. We analyze the utility of question focus identification for answer typing models in question answering, and propose a comprehensive definition of question focus based on a relation of coreference with the answer. Equipped with the new definition, we annotate a dataset of 2000 questions with focus information, and design two initial approaches to question focus identification: one that uses expert rules, and one that is trained on the annotated dataset. Empirical evaluation of the two approaches shows that focus identification using the new definition can be done with high accuracy, holding the promise of more accurate answer typing models.

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