Sciweavers

381 search results - page 11 / 77
» Word Sense Discovery for Web Information Retrieval
Sort
View
ECAI
2000
Springer
15 years 1 months ago
Enriching very large ontologies using the WWW
This paper explores the possibility to exploit text on the world wide web in order to enrich the concepts in existing ontologies. First, a method to retrieve documents from the WWW...
Eneko Agirre, Olatz Ansa, Eduard H. Hovy, David Ma...
CLIN
2003
14 years 10 months ago
Natural Language Processing in Information Retrieval
Many Natural Language Processing (NLP) techniques have been used in Information Retrieval. The results are not encouraging. Simple methods (stopwording, porter-style stemming, etc...
Thorsten Brants
KDD
2008
ACM
257views Data Mining» more  KDD 2008»
15 years 9 months ago
Knowledge discovery of semantic relationships between words using nonparametric bayesian graph model
We developed a model based on nonparametric Bayesian modeling for automatic discovery of semantic relationships between words taken from a corpus. It is aimed at discovering seman...
Issei Sato, Minoru Yoshida, Hiroshi Nakagawa
BMCBI
2006
151views more  BMCBI 2006»
14 years 9 months ago
Machine learning and word sense disambiguation in the biomedical domain: design and evaluation issues
Background: Word sense disambiguation (WSD) is critical in the biomedical domain for improving the precision of natural language processing (NLP), text mining, and information ret...
Hua Xu, Marianthi Markatou, Rositsa Dimova, Hongfa...
90
Voted
IJCAI
2001
14 years 10 months ago
Mining Soft-Matching Rules from Textual Data
Text mining concerns the discovery of knowledge from unstructured textual data. One important task is the discovery of rules that relate specific words and phrases. Although exist...
Un Yong Nahm, Raymond J. Mooney