基于非监督方法的领域特定语义消歧

LDV Forum Pub Date : 2004-07-01 DOI:10.21248/jlcl.19.2004.60
Diana Steffen, Bogdan Sacaleanu, P. Buitelaar
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引用次数: 5

摘要

意义消歧的大多数方法都局限于在人工注释的、非技术的英语语料库上进行监督训练。应用到新的语言或技术领域需要对适当的训练语料库进行大量的手工注释。由于这种方法既昂贵又低效,因此首选无监督方法,特别是在医学等技术领域。在医学领域的一个项目的背景下,我们开发并评估了两种用于语义消歧的无监督方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Domain Specific Sense Disambiguation with Unsupervised Methods
Most approaches in sense disambiguation have been restricted to supervised training over manually annotated, non-technical, English corpora. Application to a new language or technical domain requires extensive manual annotation of appropriate training corpora. As this is both expensive and inefficient, unsupervised methods are to be preferred, specifically in technical domains such as medicine. In the context of a project in the medical domain, we developed and evaluated two unsupervised methods for sense disambiguation.
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