@inproceedings{he-meyers-2014-corpus,
title = "Corpus and Method for Identifying Citations in Non-Academic Text",
author = "He, Yifan and
Meyers, Adam",
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/1036_Paper.pdf",
pages = "4316--4319",
abstract = "We attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a more ad-hoc manner. We manually annotate citations in 50 patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non-local information. Our best system achieves 0.83 F-score on 5-fold cross validation.",
}
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%0 Conference Proceedings
%T Corpus and Method for Identifying Citations in Non-Academic Text
%A He, Yifan
%A Meyers, Adam
%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 he-meyers-2014-corpus
%X We attempt to identify citations in non-academic text such as patents. Unlike academic articles which often provide bibliographies and follow consistent citation styles, non-academic text cites scientific research in a more ad-hoc manner. We manually annotate citations in 50 patents, train a CRF classifier to find new citations, and apply a reranker to incorporate non-local information. Our best system achieves 0.83 F-score on 5-fold cross validation.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf
%P 4316-4319
Markdown (Informal)
[Corpus and Method for Identifying Citations in Non-Academic Text](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1036_Paper.pdf) (He & Meyers, LREC 2014)
ACL