@inproceedings{atserias-etal-2010-active,
title = "Active Learning for Building a Corpus of Questions for Parsing",
author = "Atserias, Jordi and
Attardi, Giuseppe and
Simi, Maria and
Zaragoza, Hugo",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Maegaard, Bente and
Mariani, Joseph and
Odijk, Jan and
Piperidis, Stelios and
Rosner, Mike and
Tapias, Daniel",
booktitle = "Proceedings of the Seventh International Conference on Language Resources and Evaluation ({LREC}'10)",
month = may,
year = "2010",
address = "Valletta, Malta",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2010/pdf/656_Paper.pdf",
abstract = "This paper describes how we built a dependency Treebank for questions. The questions for the Treebank were drawn from questions from the TREC 10 QA task and from Yahoo! Answers. Among the uses for the corpus is to train a dependency parser achieving good accuracy on parsing questions without hurting its overall accuracy. We also explore active learning techniques to determine the suitable size for a corpus of questions in order to achieve adequate accuracy while minimizing the annotation efforts.",
}
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%0 Conference Proceedings
%T Active Learning for Building a Corpus of Questions for Parsing
%A Atserias, Jordi
%A Attardi, Giuseppe
%A Simi, Maria
%A Zaragoza, Hugo
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Odijk, Jan
%Y Piperidis, Stelios
%Y Rosner, Mike
%Y Tapias, Daniel
%S Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC’10)
%D 2010
%8 May
%I European Language Resources Association (ELRA)
%C Valletta, Malta
%F atserias-etal-2010-active
%X This paper describes how we built a dependency Treebank for questions. The questions for the Treebank were drawn from questions from the TREC 10 QA task and from Yahoo! Answers. Among the uses for the corpus is to train a dependency parser achieving good accuracy on parsing questions without hurting its overall accuracy. We also explore active learning techniques to determine the suitable size for a corpus of questions in order to achieve adequate accuracy while minimizing the annotation efforts.
%U http://www.lrec-conf.org/proceedings/lrec2010/pdf/656_Paper.pdf
Markdown (Informal)
[Active Learning for Building a Corpus of Questions for Parsing](http://www.lrec-conf.org/proceedings/lrec2010/pdf/656_Paper.pdf) (Atserias et al., LREC 2010)
ACL