139 search results - page 10 / 28 » Taxonomy Learning Using Word Sense Induction |
64
Voted
AAAI
2006
14 years 11 months ago
2006
The scarcity of manually labeled data for supervised machine learning methods presents a significant limitation on their ability to acquire knowledge. The use of kernels in Suppor...
94
Voted
BMCBI
2010
14 years 9 months ago
2010
Background: Word sense disambiguation (WSD) algorithms attempt to select the proper sense of ambiguous terms in text. Resources like the UMLS provide a reference thesaurus to be u...
ACL
1996
14 years 11 months ago
1996
In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge source...
ACL
2010
14 years 7 months ago
2010
Extracting knowledge from unstructured text is a long-standing goal of NLP. Although learning approaches to many of its subtasks have been developed (e.g., parsing, taxonomy induc...
87
Voted
ACL
2003
14 years 11 months ago
2003
A central problem of word sense disambiguation (WSD) is the lack of manually sense-tagged data required for supervised learning. In this paper, we evaluate an approach to automati...