Assessing Concept Weighting in Integer Linear Programming based Single document Summarization
Some of the recent state of the art systems for Automatic Text Summarization rely on the concept based approach using Integer Linear Programming (ILP) mainly for multi document summarization. A study on the suitability of such an approach to single document summarization is still missing, however. This work presents an assessment of several methods of concept weighing for a concept based ILP approach on the single document summarization scenario. The unigram and bigram representations for concepts are also investigated. The experimental results obtained on the DUC 2001 2002 and the CNN corpora show that bigrams are more suitable than unigrams for the representation of concepts. Among the concept scoring methods investigated, the sentence position method presented the best performance on all evaluation corpora.
DocEng