Attention, intentions, and the structure of discourse
Computational Linguistics
Aspect, aspectual class, and the temporal structure of narrative
Computational Linguistics - Special issue on tense and aspect
Recognizing subjective sentences: a computational investigation of narrative text
Recognizing subjective sentences: a computational investigation of narrative text
Reasoning about the temporal structure of narratives
Reasoning about the temporal structure of narratives
A computational theory of perspective and reference in narrative
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 2
Opinion Mining and Sentiment Analysis
Foundations and Trends in Information Retrieval
Sentimatrix: multilingual sentiment analysis service
WASSA '11 Proceedings of the 2nd Workshop on Computational Approaches to Subjectivity and Sentiment Analysis
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Part of understanding fictional narrative text is determining for each sentence whether it takes some character's point of view and, if it does, identifying the character whose point of view is taken. This paper presents part of an algorithm for performing the latter. When faced with a sentence that takes a character's point of view, the reader has to decide whether that character is a previously mentioned character or one mentioned in the sentence. We give particular consideration to sentences about private states, such as seeing and wanting, for which both possibilities exist. Our algorithm is based on regularities in the ways that texts initiate, continue, and resume a character's point of view, found during extensive examinations of published novels and short stories.