119 search results - page 5 / 24 » Discovering word senses from text |
NLP
2000
13 years 11 months ago
2000
In this article we compare the performance of various machine learning algorithms on the task of constructing word-sense disambiguation rules from data. The distinguishing characte...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Abstract. A large class of unsupervised algorithms for Word Sense Disambiguation (WSD) is that of dictionary-based methods. Various algorithms have as the root Lesk's algorith...
AAAI
1998
13 years 8 months ago
1998
We present a corpus{based approach to word{sense disambiguation that only requires information that can be automatically extracted from untagged text. We use unsupervised techniqu...
BMCBI
2008
13 years 7 months ago
2008
Currently, most of the discovered biological and biomedical knowledge is available as textual data in scientific papers. And, locating and curating information about a genomic enti...
COLING
2000
13 years 8 months ago
2000
In this paper we address the problem of discovering word semantic similarities via statistical processing of text corpora. We propose a knowledge-poor method that exploits the sen...