Termout.org logo/LING


Update: February 24, 2023 The new version of Termout.org is now online, so this web site is now obsolete and will soon be dismantled.

Lista de candidatos sometidos a examen:
1) semantic similarity (*)
(*) Términos presentes en el nuestro glosario de lingüística

1) Candidate: semantic similarity


Is in goldstandard

Evaluando al candidato semantic similarity:



semantic similarity
Lengua:
Frec: 21
Docs: 12
Nombre propio: / 21 = 0%
Coocurrencias con glosario:
Puntaje: 0.183 = ( + (1+0) / (1+4.4594316186373)));
Candidato aceptado

Referencias bibliográficas encontradas sobre cada término

(Que existan referencias dedicadas a un término es también indicio de terminologicidad.)
semantic similarity
: De Deyne, S., Peirsman, Y. & Storms, G. (2009). Sources of semantic similarity. Ponencia presentada en el 31st Annual Conference of the Cognitive Science Society (pp.1834-1839). Amsterdam: Netherlands.
: Fernando, S. & Stevenson, M. (2008). A semantic similarity approach to paraphrase detection. Ponencia presentada en el 11th Annual Research Colloquium of the UK Special Interest Group for Computational Linguistics, Oxford, United Kingdom.
: Jiang, J. & Conrath, D. (1997). Semantic similarity based on corpus statistics and lexical taxonomy. Ponencia presentada en el International Conference on Research in Computational Linguistics. Taiwán.
: Lemaire, B. & Denhiére, G. (2006). Effects of high-order co-occurrences on word semantic similarity. Current Psychology Letters, 1 (18), 628-637.
: Resnik, P. (1995). Using information content to evaluate semantic similarity in a taxonomy. Proceedings of the 14th International Joint Conference on Artificial Intelligence (pp. 448-453). Montreal.
: Seco, N., Veale, T. & Hayes, J. (2004). An intrinsic information content metric for semantic similarity in WordNet. Proceedings of the 16th European Conference on Artificial Intelligence (pp. 1089-1090). Valencia.
: Sinha, R. & Mihalcea R. (2007). Unsupervised graph-basedword sense disambiguation using measures of word semantic similarity. Proceedings of the Semantic Computing (ICSC), 2007 IEEE International Conference (pp. 363-369). California: Irvine.