Sciweavers

6 search results - page 1 / 2
» Finding Predominant Word Senses in Untagged Text
Sort
View
ACL
2004
13 years 6 months ago
Finding Predominant Word Senses in Untagged Text
In word sense disambiguation (WSD), the heuristic of choosing the most common sense is extremely powerful because the distribution of the senses of a word is often skewed. The pro...
Diana McCarthy, Rob Koeling, Julie Weeds, John A. ...
CICLING
2007
Springer
13 years 11 months ago
Text Categorization for Improved Priors of Word Meaning
Distributions of the senses of words are often highly skewed. This fact is exploited by word sense disambiguation (WSD) systems which back off to the predominant (most frequent) s...
Rob Koeling, Diana McCarthy, John Carroll
AAAI
1998
13 years 6 months ago
Knowledge Lean Word-Sense Disambiguation
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...
Ted Pedersen, Rebecca F. Bruce
NLDB
2005
Springer
13 years 10 months ago
On Some Optimization Heuristics for Lesk-Like WSD Algorithms
For most English words, dictionaries give various senses: e.g., “bank” can stand for a financial institution, shore, set, etc. Automatic selection of the sense intended in a gi...
Alexander F. Gelbukh, Grigori Sidorov, Sang-Yong H...
WWW
2005
ACM
14 years 5 months ago
The infocious web search engine: improving web searching through linguistic analysis
In this paper we present the Infocious Web search engine [23]. Our goal in creating Infocious is to improve the way people find information on the Web by resolving ambiguities pre...
Alexandros Ntoulas, Gerald Chao, Junghoo Cho