Abstract
Recently, the prevalence of information retrieval engines has created an important application of the automatic summarization as the display of retrieval results, whereby the user can quickly and accurately judge the relevance of texts returned as a result of a query. Here, rather than producing a generic summary, the summary that reflects the user's topic of interest (information need) expressed in the query would be considered as more suitable. This type of summary is often called query‐biased summary.In this paper we present a method for producing query‐biased summaries using lexical chains. Lexical chains are sequences of words that are in lexical cohesion relation with each other, and tend to indicate fragments of a text that form a semantic unit. Using lexical chains would enable to produce more coherent and readable summaries than previous approaches to query‐biased summarization.To evaluate the effectiveness of our method, a task‐based evaluation scheme is adopted. The results from the experiments show that query‐biased summaries by lexical chains outperform others in the accuracy of subjects' relevance judgments.
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