Automatic discovery of synonyms and lexicalizations from the Web

Authors:
David Sánchez;Antonio Moreno
Affiliations:
Department of Computer Science and Mathematics, University Rovira i Virgili (URV);Department of Computer Science and Mathematics, University Rovira i Virgili (URV)
Venue:
Proceedings of the 2005 conference on Artificial Intelligence Research and Development
Year:
2005

Citing 5
Cited 7

Foundations of statistical natural language processing

Foundations of statistical natural language processing
EuroWordNet: a multilingual database with lexical semantic networks

EuroWordNet: a multilingual database with lexical semantic networks
Finding aliases on the web using latent semantic analysis

Data & Knowledge Engineering - Special issue: WIDM 2002
Interlingual BRICO

IBM Systems Journal
WordNet: similarity - measuring the relatedness of concepts

AAAI'04 Proceedings of the 19th national conference on Artifical intelligence

Integrated scoring for spelling error correction, abbreviation expansion and case restoration in dirty text

AusDM '06 Proceedings of the fifth Australasian conference on Data mining and analystics - Volume 61
Learning non-taxonomic relationships from web documents for domain ontology construction

Data & Knowledge Engineering
Pattern-based automatic taxonomy learning from the Web

AI Communications
Semantic disambiguation of taxonomies

Proceedings of the 2007 conference on Artificial Intelligence Research and Development
Search with synonyms: problems and solutions

COLING '10 Proceedings of the 23rd International Conference on Computational Linguistics: Posters
Creating topic hierarchies for large medical libraries

KR4HC'09 Proceedings of the 2009 AIME international conference on Knowledge Representation for Health-Care: data, Processes and Guidelines
Discovering non-taxonomic relations from the web

IDEAL'06 Proceedings of the 7th international conference on Intelligent Data Engineering and Automated Learning

Quantified Score

Hi-index	0.01

Visualization

Abstract

The search of Web resources is a very important topic due to the huge amount of valuable information available in the WWW. Standard search engines can be a great help but they are often based only on the presence or absence of keywords. Thus problems regarding semantic ambiguity appear. In order to solve one of them, we propose a new method for discovering lexicalizations and synonyms of search queries based on a previously obtained taxonomy of terms for the specified domain.