Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources
Mapping WordNet Domains, WordNet Topics and Wikipedia Categories to Generate Multilingual Domain Specific Resources
复制标题
映射 WordNet 域、WordNet 主题和维基百科类别以生成多语言域特定资源
DOI：
--
复制
发表时间：
2014
期刊：
影响因子：
--
通讯作者：
Vivi Nastase
中科院分区：
文献类型：
--
作者：
Spandana Gella;C. Strapparava;Vivi Nastase
在本文中，我们提出了WordNet域和WordNet主题之间的映射，以及新兴的维基百科类别。这种映射导致WordNet和Wikipedia之间的粗略对齐，这对于生成特定领域和多语言语料库非常有用。多语言是通过维基百科类别之间的跨语言链接实现的。词义消歧的研究表明，在特定的领域内，相关的词具有有限的意义。我们制作的多语言、可比的特定领域语料库有可能增强不同语言中词义消歧和术语提取的研究，这可以提高各种NLP任务的性能。
In this paper we present the mapping between WordNet domains and WordNet topics, and the emergent Wikipedia categories. This mapping leads to a coarse alignment between WordNet and Wikipedia, useful for producing domain-specific and multilingual corpora. Multilinguality is achieved through the cross-language links between Wikipedia categories. Research in word-sense disambiguation has shown that within a specific domain, relevant words have restricted senses. The multilingual, and comparable, domain-specific corpora we produce have the potential to enhance research in word-sense disambiguation and terminology extraction in different languages, which could enhance the performance of various NLP tasks.