Advances in Automatic Text Summarization
Advances in Automatic Text Summarization
Advances in domain independent linear text segmentation
NAACL 2000 Proceedings of the 1st North American chapter of the Association for Computational Linguistics conference
Three generative, lexicalised models for statistical parsing
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Hedge Trimmer: a parse-and-trim approach to headline generation
HLT-NAACL-DUC '03 Proceedings of the HLT-NAACL 03 on Text summarization workshop - Volume 5
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In this paper we present a system that creates a headline summary for a newspaper article We present an approach that constructs a headline by selecting the most important portion of the text, then reducing it using linguistic compression techniques The compression is grammatical and retains the most important pieces of information, leaving it readable In addition, we present experimental results that demonstrate the effectiveness of our approach.