Sophia Ananiadou
List of John Benjamins publications for which Sophia Ananiadou plays a role.
Articles
2018. HYPHEN: A flexible, hybrid method to map phenotype concept mentions to terminological resources. Computational terminology and filtering of terminological information, Drouin, Patrick, Natalia Grabar, Thierry Hamon, Kyo Kageura and Koichi Takeuchi (eds.), pp. 91–121
Narrative clinical records and biomedical articles constitute rich sources of information about phenotypes, i.e., markers distinguishing individuals with specific medical conditions from the general population. Phenotypes help clinicians to provide personalised treatments. However, locating… read more | Article
2004. Mining term similarities from corpora. Recent Trends in Computational Terminology, Daille, Béatrice, Kyo Kageura, Hiroshi Nakagawa and Lee-Feng Chien (eds.), pp. 55–80
In this article, we present an approach to the automatic discovery of term similarities, which may serve as a basis for a number of term-oriented knowledge mining tasks. The method for term comparison combines internal (lexical similarity) and two types of external criteria (syntactic and… read more | Article
2001. Term extraction using a similarity-based approach. Recent Advances in Computational Terminology, Bourigault, Didier, Christian Jacquemin and Marie-Claude L'Homme (eds.), pp. 261–278
Traditional methods of multi-word term extraction have used hybrid methods combining linguistic and statistical information. The linguistic part of these applications is often underexploited and consists of very shallow knowledge in the form of a simple syntactic filter. In most cases no… read more | Chapter
2000. An application and e aluation of the C/NC-value approach for the automatic term recognition of multi-word units in Japanese. Japanese Term Extraction, Kageura, Kyo and Teruo Koyama, pp. 175–194
Technical terms are important for knowledge mining, especially as vast amounts of multi-lingual documents are available over the Internet. Thus, a domain and language-independent method for term recognition is necessary to automatically recognize terms from Internet documents.
The C-/NC-value… read more | Article
1997. Towards a sublanguage-based semantic clustering algorithm. Recent Advances in Natural Language Processing: Selected Papers from RANLP ’95, Mitkov, Ruslan and Nicolas Nicolov (eds.), pp. 125–136
Article