A step towards the detection of semantic variants of terms in technical documents
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
COLING '04 Proceedings of the 20th international conference on Computational Linguistics
A robust linguistic platform for efficient and domain specific web content analysis
Large Scale Semantic Access to Content (Text, Image, Video, and Sound)
Improving term extraction with terminological resources
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Developing a robust part-of-speech tagger for biomedical text
PCI'05 Proceedings of the 10th Panhellenic conference on Advances in Informatics
A hybrid knowledge-based and data-driven approach to identifying semantically similar concepts
Journal of Biomedical Informatics
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Acquiring and enriching lexical resources is crucial for various areas of the computational linguistics applications, especially in specialized domains. In this paper, we propose a high-quality method exploiting the compositionality of complex terms issued from a structured terminology in order to infer three kinds of semantic relations (synonymy, hierarchical and meronymy) between words or terms. The approach has been applied and evaluated on the Gene Ontology biomedical terminology: 1,273 is-a, 178 part-of and 921 synonymy relations have been inferred and show a precision over 90%. We analyze these results and the possibility of their cross-validation through a graph representation.