Accurate methods for the statistics of surprise and coincidence
Computational Linguistics - Special issue on using large corpora: I
Projecting corpus-based semantic links on a thesaurus
ACL '99 Proceedings of the 37th annual meeting of the Association for Computational Linguistics on Computational Linguistics
Proceedings of the 2006 conference on ECAI 2006: 17th European Conference on Artificial Intelligence August 29 -- September 1, 2006, Riva del Garda, Italy
Multi-word term extraction for Bulgarian
ACL '07 Proceedings of the Workshop on Balto-Slavonic Natural Language Processing: Information Extraction and Enabling Technologies
Terminology Extraction from Log Files
DEXA '09 Proceedings of the 20th International Conference on Database and Expert Systems Applications
A symbolic approach to automatic multiword term structuring
Computer Speech and Language
NLP Contribution to the Semantic Web: Linking the Term to the Concept
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part I
Brains, not brawn: The use of “smart” comparable corpora in bilingual terminology mining
ACM Transactions on Speech and Language Processing (TSLP)
Automatic acquisition of semantic relationships from morphological relatedness
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Improving term extraction with terminological resources
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
Terminology structuring through the derivational morphology
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
French-english terminology extraction from comparable corpora
IJCNLP'05 Proceedings of the Second international joint conference on Natural Language Processing
I2DEE: an integrated and interactive data exploration environment used for ontology design
EKAW'06 Proceedings of the 15th international conference on Managing Knowledge in a World of Networks
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Term extraction systems are now an integral part of the compiling of specialized dictionaries and updating of term banks. In this paper, we present a term detection approach that discovers, structures, and infers conceptual relationships between terms for French. Conceptual relationships are deduced from specific types of term variations, morphological and syntagmatic, and are expressed through lexical functions. The linguistic precision of the conceptual structuring through morphological variations is of 95%.