Research on Sentence Extraction in Text Summarization

Extractive summarization attempts to extract important sentences from the original text and re-organize them in a summary.In this paper we propose a method to automatically identify significant sentences.The basic idea of this method is to label each sentence with one of two tags via the sequence labeling modelof Conditional Random Fields.Considering that many sentences tend to be rejected due to the fact that sentences in summarization are much less compared with the original sentences,we introduce a correction factor to correct the label bias.Experiment results show that the proposed method achieves a good performance.