A Detection Method of Scene Change for Narrative Summarization

Abstract

In this research, we propose a method of detecting scene change in a narrative in order to realize extractive summarization. First, preprocessing removing dialogue sentences from narrative sentences is performed. Next, candidate sentences for scene change are enumerated by calculating the power of attractiveness of a word, which means the dependency from other words, and the conjunctive expressions. At this time, the characters are automatically extracted based on the subject of a specific verb, and are used as words to be focused on when calculating the power of attractiveness of words. After that, the referential expressions are used to delete sentences that are assumed not to be scene changes from the candidate sentences. As an evaluation of the proposed method, the accuracy of the scene change inference was obtained by manually creating the correct data and comparing it with the estimation result by the proposed method. As a result of the evaluation, the precision was lower than the recall. It was confirmed that short sentences were difficult to extract due to the influence of sentence length when calculating the power of attractiveness of a word. Furthermore, the connective expressions used in scene change sentences may be biased.