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A Simple Platform for Defining Idiom Variation Matching Rules
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In: Proceedings of the 16th EURALEX International Congress: The User in Focus, Bolzano/Bozen, Italien 15 - 19 July 2014 (2014), 399-404
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IDS OBELEX meta
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Brains, not Brawn: The Use of ‘’Smart’’ Comparable Corpora in Bilingual Terminology Mining
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In: ISSN: 1550-4875 ; ACM - Transactions on Speech and Language Processing ; https://hal.archives-ouvertes.fr/hal-01154658 ; ACM - Transactions on Speech and Language Processing, Association for Computing Machinery, 2010, 7 (1), pp.1-23 (2010)
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BASE
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BioCaster: detecting public health rumors with a Web-based text mining system
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BASE
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BioCaster: detecting public health rumors with a Web-based text mining system
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Collier, Nigel; Doan, Son; Kawazoe, Ai; Goodwin, Reiko Matsuda; Conway, Mike; Tateno, Yoshio; Ngo, Quoc-Hung; Dien, Dinh; Kawtrakul, Asanee; Takeuchi, Koichi; Shigematsu, Mika; Taniguchi, Kiyosu. - : Oxford University Press, 2008
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Abstract:
Summary: BioCaster is an ontology-based text mining system for detecting and tracking the distribution of infectious disease outbreaks from linguistic signals on the Web. The system continuously analyzes documents reported from over 1700 RSS feeds, classifies them for topical relevance and plots them onto a Google map using geocoded information. The background knowledge for bridging the gap between Layman's terms and formal-coding systems is contained in the freely available BioCaster ontology which includes information in eight languages focused on the epidemiological role of pathogens as well as geographical locations with their latitudes/longitudes. The system consists of four main stages: topic classification, named entity recognition (NER), disease/location detection and event recognition. Higher order event analysis is used to detect more precisely specified warning signals that can then be notified to registered users via email alerts. Evaluation of the system for topic recognition and entity identification is conducted on a gold standard corpus of annotated news articles.
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Keyword:
Applications Note
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URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC2639299 https://doi.org/10.1093/bioinformatics/btn534 http://www.ncbi.nlm.nih.gov/pubmed/18922806
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BASE
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Bilingual Terminology Mining -- Using Brain, not brawn comparable corpora
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In: Proceedings of the 45th Annual Meeting of the Association for Computational Linguistics (ACL'07), Prague, Czech Republic ; The 45th Annual Meeting of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-00471965 ; The 45th Annual Meeting of the Association for Computational Linguistics, 2007, Czech Republic. pp.N/P (2007)
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BASE
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A multilingual ontology for infectious disease surveillance: rationale, design and challenges
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BASE
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Construction of Grammar Based Term Extraction Model for Japanese
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In: 3rd International Workshop on Computational Terminology - CompuTerm 2004 ; https://hal.inria.fr/inria-00107805 ; 3rd International Workshop on Computational Terminology - CompuTerm 2004, 2004, Geneva, Suisse. pp.91-94 (2004)
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BASE
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Pattern Based Term Extraction Using ACABIT System
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In: IEIC Technical Report ; https://hal.archives-ouvertes.fr/hal-00403925 ; IEIC Technical Report, Institute of Electronics, Information and communication Engineers 2003, 103 (280), pp.31-36 (2003)
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BASE
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