JATE2.0 : Java Automatic Term Extraction with Apache Solr

Zhang, Z., Gao, J. and Ciravegna, F. (2016) JATE2.0 : Java Automatic Term Extraction with Apache Solr. In: Calzolari, N., Choukri, K., Declerck, T., Goggi, S., Grobelnik, M., Maegaard, B., Mariani, J., Mazo, H., Moreno, A., Odijk, J. and Piperidis, S., (eds.) Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). LREC 2016, Tenth International Conference on Language Resources and Evaluation, 23-28 May 2016, Portorož, Slovenia. European Language Resources Association (ELRA) . ISBN 9782951740891

Abstract

Metadata

Authors/Creators:
  • Zhang, Z.
  • Gao, J.
  • Ciravegna, F.
Copyright, Publisher and Additional Information: © 2016 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial Licence (http://creativecommons.org/licenses/by-nc/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. You may not use the material for commercial purposes.
Keywords: term extraction; term recognition; NLP; text mining; Solr; search; indexing
Dates:
  • Accepted: 1 February 2016
  • Published: 23 May 2016
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Computer Science (Sheffield)
Funding Information:
FunderGrant number
Innovate UK (TSB)101947 / 41205-293373
European Commission - FP6/FP7WESENSEIT - 308429
Depositing User: Symplectic Sheffield
Date Deposited: 02 Jun 2016 09:57
Last Modified: 17 Jun 2020 11:25
Published Version: http://www.lrec-conf.org/proceedings/lrec2016/summ...
Status: Published
Publisher: European Language Resources Association (ELRA)
Refereed: Yes

Download

Share / Export

Statistics