Sentence Extraction System Assembling Multiple Evidence.

Abstract

We have developed a sentence extraction system, which estimates the significance of sentences by integrating four scoring functions that use evidence such as sentence location, sentence length, TF/IDF values of words, and similarity to the title. Similarity to a given query is also added to the system on the summarization task for Information Retrieval. Parameters for scoring functions were optimized by an experiment using dry run data of the TSC. Results from the TSC formal run showed that our method was effective in the sentence extraction task. 1