Searching for authors named "Sophia Ananiadou" – sorted by Relevance.
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Creating and using domain-specific ontologies for terminological applications
- , Sophia Ananiadou 2 1 Dept. of Computer Science, Sheffield University Regent Court, 211 Portobello Rd
- Cited by 2 (0 self) – Add To MetaCart
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Ananiadou S: Thesaurus or Logical Ontology, Which One Do We Need for Text Mining? Language Resources and Evaluation
- tsujii@(email omitted); Sophia Ananiadou National Centre for Text Mining School of Computing, Science
- Cited by 3 (2 self) – Add To MetaCart
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Terminological Acquaintance: the Importance of Contextual Information in Terminology
- .maynard@(email omitted); Sophia Ananiadou Computer Science, School of Sciences University of Salford, Newton Building Salford, M5
- Cited by 4 (0 self) – Add To MetaCart
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A Linguistic Approach to Terminological Context Clustering
- & Mathematics Manchester Metropolitan University Manchester, M1 5GD, U.K. D.Maynard@(email omitted); Sophia
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Ananiadou S: Clustering acronyms in biomedical text for disambiguation
- Clustering acronyms in biomedical text for disambiguation Naoaki Okazaki ∗ and Sophia Ananiadou
- Cited by 1 (0 self) – Add To MetaCart
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An application and evaluation of the C/NC-value approach for the automatic term recognition of multi-word units in Japanese
- of Multi-Word units in Japanese Hideki MIMA† Sophia ANANIADOU†† †Dept. of Information Science University
- Cited by 3 (2 self) – Add To MetaCart
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Identifying Contextual Information for Multi-Word Term Extraction
- Identifying Contextual Information for Multi-Word Term Extraction Diana Maynard and Sophia
- Cited by 11 (0 self) – Add To MetaCart
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TRUCKS: a model for automatic multi-word term recognition
- .K. Sophia Ananiadou, University of Salford, U.K. March 30, 2000 Abstract This paper examines the use
- Cited by 6 (0 self) – Add To MetaCart
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Mining semantically related terms from biomedical literature
- Mining Semantically Related Terms from Biomedical Literature GORAN NENADIĆ and SOPHIA ANANIADOU
- Cited by 2 (0 self) – Add To MetaCart
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Identifying Terms by their Family and Friends
- recognition. 530 Sophia Ananiadou Computer Science, School of Sciences University of Saltbrd, Newton Building
- Cited by 13 (6 self) – Add To MetaCart

