Identification of Speakers in Novels

Speaker identification is the task of attributing utterances to characters in a literary narrative. It is challenging to automate because the speakers of the majority of utterances are not explicitly identified in novels. In this paper, we present a supervised machine learning approach for the task that incorporates several novel features. The experimental results show that our method is more accurate and general than previous approaches to the problem.