Relaxation and neural learning: points of convergence and divergence
Journal of Parallel and Distributed Computing - Neural Computing
Computational Linguistics - Summarization
Lexical cohesion computed by thesaural relations as an indicator of the structure of text
Computational Linguistics
TextTiling: segmenting text into multi-paragraph subtopic passages
Computational Linguistics
Identifying topics by position
ANLC '97 Proceedings of the fifth conference on Applied natural language processing
Multi-paragraph segmentation of expository text
ACL '94 Proceedings of the 32nd annual meeting on Association for Computational Linguistics
Word sense disambiguation and text segmentation based on lexical cohesion
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 2
Lexical chains for question answering
COLING '02 Proceedings of the 19th international conference on Computational linguistics - Volume 1
Improving word sense disambiguation in lexical chaining
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
A lexical chain approach for update-style query-focused multi-document summarization
AIRS'08 Proceedings of the 4th Asia information retrieval conference on Information retrieval technology
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Lexical chains are widely used as a representation of text for Natural Language Processing tasks. However, efficient algorithms for the construction of lexical chains often resort to local decisions. We propose a new algorithm for Lexical Chaining, based on a global function optimization through Relaxation Labelling. A preliminary evaluation of the performance of our approach has been performed on a Catalan agency news corpus. The comparison to an efficient state-of-the-art algorithm for Lexical Chaining gives promising results. The resulting lexical chainer has been used for a complete multilingual Automatic Summarization system, available on-line.