@inproceedings{anick-etal-2014-identification,
title = "Identification of Technology Terms in Patents",
author = "Anick, Peter and
Verhagen, Marc and
Pustejovsky, James",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/701_Paper.pdf",
pages = "2008--2014",
abstract = "Natural language analysis of patents holds promise for the development of tools designed to assist analysts in the monitoring of emerging technologies. One component of such tools is the identification of technology terms. We describe an approach to the discovery of technology terms using supervised machine learning and evaluate its performance on subsets of patents in three languages: English, German, and Chinese.",
}
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%0 Conference Proceedings
%T Identification of Technology Terms in Patents
%A Anick, Peter
%A Verhagen, Marc
%A Pustejovsky, James
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F anick-etal-2014-identification
%X Natural language analysis of patents holds promise for the development of tools designed to assist analysts in the monitoring of emerging technologies. One component of such tools is the identification of technology terms. We describe an approach to the discovery of technology terms using supervised machine learning and evaluate its performance on subsets of patents in three languages: English, German, and Chinese.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/701_Paper.pdf
%P 2008-2014
Markdown (Informal)
[Identification of Technology Terms in Patents](http://www.lrec-conf.org/proceedings/lrec2014/pdf/701_Paper.pdf) (Anick et al., LREC 2014)
ACL
- Peter Anick, Marc Verhagen, and James Pustejovsky. 2014. Identification of Technology Terms in Patents. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 2008–2014, Reykjavik, Iceland. European Language Resources Association (ELRA).