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Do not do processing, when you can look up: Towards a Discrimination Net for WSD

机译:在可以查找的情况下不执行处理:向WSD歧视网迈进

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The task of Word Sense Disambiguation (WSD) incorporates in its definition the role of 'context'. We present our work on the development of a tool which allows for automatic acquisition and ranking of 'context clues' for WSD. These clue words are extracted from the contexts of words appearing in a large monolingual corpus. These mined collection of contextual clues form a discrimination net in the sense that for targeted WSD, navigation of the net leads to the correct sense of a word given its context. Utilizing this resource we intend to develop efficient and light weight WSD based on look up and navigation of memory-resident knowledge base, thereby avoiding heavy computation which often prevents incorporation of any serious WSD in MT and search. The need for large quantities of sense marked data too can be reduced.
机译:词义歧义消除(WSD)的任务在其定义中包含了“上下文”的角色。我们介绍了我们开发的工具,该工具可以自动获取WSD的“上下文线索”并对其进行排名。这些线索词是从出现在大型单语语料库中的词的上下文中提取的。这些挖掘出的上下文线索集合构成了一个歧视网,在某种意义上说,对于目标的WSD,在给定上下文的情况下,网的导航会导致正确的词义。利用这一资源,我们打算基于对内存驻留的知识库的查找和导航来开发高效,轻量级的WSD,从而避免进行繁重的计算,而这通常会阻止将任何严重的WSD纳入MT和搜索中。也可以减少对大量具有感官标记的数据的需求。

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