首页> 外文会议>International Conference on Advances in Natural Language Processing(EsTAL 2004); 20041020-22; Alicante(ES) >Integrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation
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Integrating Conceptual Density with WordNet Domains and CALD Glosses for Noun Sense Disambiguation

机译:将概念密度与WordNet域和CALD Glosses集成在一起以消除名词感觉歧义

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摘要

The lack of large, semanticaily annotated corpora is one of the main drawbacks of Word Sense Disambiguation systems. Unsuper-vised systems do not need such corpora and rely on the information of the WordNet ontology. In order to improve their performance, the use of other lexical resources need to be investigated. This paper describes the effort to integrate the Conceptual Density approach with sources of lexical information different from WordNet, particularly the Word-Net Domains and the Cambridge Advanced Learner's Dictionary. Unfortunately, enriching WordNet glosses with samples of another lexical resource did not provide the expected results.
机译:缺少大型的语义注释语料库是Word Sense Disambiguation系统的主要缺点之一。非监督系统不需要这种语料库,而是依赖于WordNet本体的信息。为了提高其性能,需要研究其他词汇资源的使用。本文介绍了将概念密度方法与不同于WordNet的词汇信息源(尤其是Word-Net域和Cambridge Advanced Learner's Dictionary)集成的努力。不幸的是,用另一种词汇资源的样本丰富WordNet词汇并不能提供预期的结果。

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