Efficient text summarization using lexical chains
Proceedings of the 5th international conference on Intelligent user interfaces
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Document concept lattice for text understanding and summarization
Information Processing and Management: an International Journal
Multiple documents summarization based on genetic algorithm
FSKD'06 Proceedings of the Third international conference on Fuzzy Systems and Knowledge Discovery
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We present a system which uses lexical chains as an intermediate representation for automatic text summarization. This system builds on previous research by implementing a lexical chain extraction algorithm in linear time. The system is reasonably domain independent and takes as input any text or HTML document. The system outputs a short summary based on the most salient concepts from the original document. The length of the extracted summary can be either controlled automatically, or manually based on length or percentage of compression. While still under development, the system provides useful summaries which compare well in information content to human generated summaries. Additionally, the system provides a robust test bed for future summary generation research.