Experiments on using semantic distances between words in image caption retrieval
SIGIR '96 Proceedings of the 19th annual international ACM SIGIR conference on Research and development in information retrieval
Explorations in Automatic Thesaurus Discovery
Explorations in Automatic Thesaurus Discovery
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Towards automatic extraction of monolingual and bilingual terminology
COLING '94 Proceedings of the 15th conference on Computational linguistics - Volume 1
Surface grammatical analysis for the extraction of terminological noun phrases
COLING '92 Proceedings of the 14th conference on Computational linguistics - Volume 3
Hierarchical clustering of words
COLING '96 Proceedings of the 16th conference on Computational linguistics - Volume 2
Supervised Learning of Term Similarities
IDEAL '02 Proceedings of the Third International Conference on Intelligent Data Engineering and Automated Learning
The ATRACT Workbench: Automatic Term Recognition and Clustering for Terms
TSD '01 Proceedings of the 4th International Conference on Text, Speech and Dialogue
A Statistical Corpus-Based Term Extractor
AI '01 Proceedings of the 14th Biennial Conference of the Canadian Society on Computational Studies of Intelligence: Advances in Artificial Intelligence
Using automatically learnt verb selectional preferences for classification of biomedical terms
Journal of Biomedical Informatics - Special issue: Named entity recognition in biomedicine
Automatic discovery of term similarities using pattern mining
COMPUTERM '02 COLING-02 on COMPUTERM 2002: second international workshop on computational terminology - Volume 14
Using domain-specific verbs for term classification
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
Selecting text features for gene name classification: from documents to terms
BioMed '03 Proceedings of the ACL 2003 workshop on Natural language processing in biomedicine - Volume 13
A nonparametric method for extraction of candidate phrasal terms
ACL '05 Proceedings of the 43rd Annual Meeting on Association for Computational Linguistics
Measuring data-driven ontology changes using text mining
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
Determining termhood for learning domain ontologies using domain prevalence and tendency
AusDM '07 Proceedings of the sixth Australasian conference on Data mining and analytics - Volume 70
NLP Techniques for Term Extraction and Ontology Population
Proceedings of the 2008 conference on Ontology Learning and Population: Bridging the Gap between Text and Knowledge
A probabilistic framework for automatic term recognition
Intelligent Data Analysis
Term extraction from sparse, ungrammatical domain-specific documents
Expert Systems with Applications: An International Journal
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Multi-word terms are traditionally identified using statistical techniques or, more recently, using hybrid techniques combining statistics with shallow linguistic information. Approaches to word sense disambiguation and machine translation have taken advantage of contextual information in a more meaningful way, but terminology has rarely followed suit. We present an approach to term recognition which identifies salient parts of the context and measures their strength of association to relevant candidate terms. The resulting list of ranked terms is shown to improve on that produced by traditional methods, in terms of precision and distribution, while the information acquired in the process can also be used for a variety of other applications, such as disambiguation, lexical tuning and term clustering.