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» Information retrieval using word senses: root sense tagging ...
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NLDB
2005
Springer
14 years 26 days 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...
CLIN
2003
13 years 8 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
WAIM
2007
Springer
14 years 1 months ago
Semantic-Based Grouping of Search Engine Results Using WordNet
Terms used in search queries often have multiple meanings. Consequently, search results corresponding to different meanings may be retrieved, making identifying relevant results in...
Reza Hemayati, Weiyi Meng, Clement T. Yu
IJCAI
2001
13 years 8 months ago
Combining Statistics and Semantics for Word and Document Clustering
A new approach for constructing pseudo-keywords, referred to as Sense Units, is proposed. Sense Units are obtained by a word clustering process, where the underlying similarity re...
Alexandre Termier, Michèle Sebag, Marie-Chr...
ACL
2008
13 years 8 months ago
An Unsupervised Vector Approach to Biomedical Term Disambiguation: Integrating UMLS and Medline
This paper introduces an unsupervised vector approach to disambiguate words in biomedical text that can be applied to all-word disambiguation. We explore using contextual informat...
Bridget McInnes