Exploration of a Rich Feature Set for Automatic Term Extraction

Author:

Conrado Merley S.,Pardo Thiago A. S.,Rezende Solange O.

Publisher

Springer Berlin Heidelberg

Reference27 articles.

1. Cabré, M.T., Estopà, R., Vivaldi, J.: Automatic term detection: a review of current systems. In: Bourigault, D., Jacquemin, C., L’Homme, M.-C. (eds.) Recent Advances in Computational Terminology, pp. 53–88. John Benjamins, Amsterdam (2001)

2. Conrado, M.S., Pardo, T.A.S., Rezende, S.O.: A machine learning approach to automatic term extraction using a rich feature set. In: Proceedings of the 2013 NAACL HLT Student Research Workshop, Atlanta, USA, pp. 16–23 (2013)

3. Vivaldi, J., Rodríguez, H.: Evaluation of terms and term extraction systems: A practical approach. Terminology 13(2), 225–248 (2007)

4. Zhang, X., Song, Y., Fang, A.: Term recognition using conditional random fields. In: Proc. of IEEE NLP-KE, pp. 333–336 (2010)

5. Zhang, Z., Iria, J., Brewster, C., Ciravegna, F.: A comparative evaluation of term recognition algorithms. In: Calzolari, N., Choukri, K., Maegaard, B., Mariani, J., Odjik, J., Piperidis, S., Tapias, D. (eds.) Proc. of the 6th on LREC, pp. 2108–2113. ELRA, Marrakech (2008)

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