Position information has been proved to be very effective in document summarization, especially in generic summarization. Existing approaches mostly consider the information of sentence positions in a document, based on a sentence position hypothesis that the importance of a sentence decreases with its distance from the beginning of the document. In this paper, we consider another kind of position information, i.e., the word position information, which is based on the ordinal positions of word appearances instead of sentence positions. An extractive summarization model is proposed to provide an evaluation framework for the position information. The resulting systems are evaluated on various data sets to demonstrate the effectiveness of the position information in different summarization tasks. Experimental results show that word position information is more effective and adaptive than sentence position information.
Paper REF defines several word position features based on the ordinal positions of word appearances and develops a word-based summarization system to evaluate the effectiveness of the proposed word position features on a series of summarization data sets.
A Study on Position Information in Document Summarization
COLING - POSTERS
Computer Science