@inproceedings{degorski-etal-2008-definition,
title = "Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers",
author = "Deg{\'o}rski, {\L}ukasz and
Marci{\'n}czuk, Micha{\l} and
Przepi{\'o}rkowski, Adam",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Tapias, Daniel",
booktitle = "Proceedings of the Sixth International Conference on Language Resources and Evaluation ({LREC}'08)",
month = may,
year = "2008",
address = "Marrakech, Morocco",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2008/pdf/213_paper.pdf",
abstract = "The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a sequential combination of both. We show that applying ML methods with the support of a trivial grammar gives results better than a relatively complicated partial grammar, and much better than pure ML approach.",
}
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<abstract>The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a sequential combination of both. We show that applying ML methods with the support of a trivial grammar gives results better than a relatively complicated partial grammar, and much better than pure ML approach.</abstract>
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%0 Conference Proceedings
%T Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers
%A Degórski, Łukasz
%A Marcińczuk, Michał
%A Przepiórkowski, Adam
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Tapias, Daniel
%S Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC’08)
%D 2008
%8 May
%I European Language Resources Association (ELRA)
%C Marrakech, Morocco
%F degorski-etal-2008-definition
%X The paper deals with the task of definition extraction from a small and noisy corpus of instructive texts. Three approaches are presented: Partial Parsing, Machine Learning and a sequential combination of both. We show that applying ML methods with the support of a trivial grammar gives results better than a relatively complicated partial grammar, and much better than pure ML approach.
%U http://www.lrec-conf.org/proceedings/lrec2008/pdf/213_paper.pdf
Markdown (Informal)
[Definition Extraction Using a Sequential Combination of Baseline Grammars and Machine Learning Classifiers](http://www.lrec-conf.org/proceedings/lrec2008/pdf/213_paper.pdf) (Degórski et al., LREC 2008)
ACL