Are linguistic properties and behaviors important to recognize terms? Are statistical measures effective to extract terms? Is it possible to capture a sort of termhood with computation linguistic techniques? Or maybe, terms are too much sensitive to exogenous and pragmatic factors that cannot be confined in computational linguistic? All these questions are still open. This study tries to contribute in the search of an answer, with the belief that it can be found only through a careful experimental analysis of real case studies and a study of their correlation with theoretical insights.

Pazienza, M.t., Pennacchiotti, M., Zanzotto, F.m. (2005). Terminology extraction: an analysis of linguistic and statistical approaches. In S. Sirmakessis (a cura di), Knowledge mining: proceedings of the NEMIS 2004 final conference (pp. 255-279). Berlin : Springer [10.1007/3-540-32394-5_20].

Terminology extraction: an analysis of linguistic and statistical approaches

PAZIENZA, MARIA TERESA;ZANZOTTO, FABIO MASSIMO
2005-01-01

Abstract

Are linguistic properties and behaviors important to recognize terms? Are statistical measures effective to extract terms? Is it possible to capture a sort of termhood with computation linguistic techniques? Or maybe, terms are too much sensitive to exogenous and pragmatic factors that cannot be confined in computational linguistic? All these questions are still open. This study tries to contribute in the search of an answer, with the belief that it can be found only through a careful experimental analysis of real case studies and a study of their correlation with theoretical insights.
2005
Settore ING-INF/05 - SISTEMI DI ELABORAZIONE DELLE INFORMAZIONI
English
Rilevanza internazionale
Capitolo o saggio
terminology extraction; statistical methods for NLP
Il terzo coautore, Marco Pennacchiotti, lavora all'estero a YAHOO come ricercatore
Pazienza, M.t., Pennacchiotti, M., Zanzotto, F.m. (2005). Terminology extraction: an analysis of linguistic and statistical approaches. In S. Sirmakessis (a cura di), Knowledge mining: proceedings of the NEMIS 2004 final conference (pp. 255-279). Berlin : Springer [10.1007/3-540-32394-5_20].
Pazienza, Mt; Pennacchiotti, M; Zanzotto, Fm
Contributo in libro
File in questo prodotto:
File Dimensione Formato  
SFSC_2005.pdf

accesso aperto

Licenza: Copyright dell'editore
Dimensione 397.27 kB
Formato Adobe PDF
397.27 kB Adobe PDF Visualizza/Apri

Questo articolo è pubblicato sotto una Licenza Licenza Creative Commons Creative Commons

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2108/46728
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 152
  • ???jsp.display-item.citation.isi??? 79
social impact