Experiences with a multilingual ontology-based lexicon for news filtering

H. Weigand, S. Hoppenbrouwers
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引用次数: 13

Abstract

Ontologies as part of a lexicon are important for many NLP tasks. We draw on experiences gained in an ESPRIT project called TREVI, which concerns news filtering and enrichment and includes an English/Spanish multilingual lexicon. We sketch the way the lexicon, including an ontology, is constructed and present the methodology used for adding domain ontologies. In general, the approach is lexicon-driven in the sense that ontology (semantics) and lexicon (word forms) are developed in tandem.
使用基于多语言本体的新闻过滤词典的经验
本体作为词典的一部分对许多NLP任务都很重要。我们借鉴了在一个名为TREVI的ESPRIT项目中获得的经验,该项目涉及新闻过滤和丰富,并包括英语/西班牙语多语言词典。我们概述了构建包括本体在内的词典的方法,并给出了用于添加领域本体的方法。一般来说,该方法是词典驱动的,因为本体(语义)和词典(词形式)是串联开发的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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