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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.
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