@inproceedings{yoshida-etal-2004-retrieving,
title = "Retrieving Annotated Corpora for Corpus Annotation",
author = "Yoshida, Ky{\^o}suke and
Hashimoto, Taiichi and
Tokunaga, Takenobu and
Tanaka, Hozumi",
editor = "Lino, Maria Teresa and
Xavier, Maria Francisca and
Ferreira, F{\'a}tima and
Costa, Rute and
Silva, Raquel",
booktitle = "Proceedings of the Fourth International Conference on Language Resources and Evaluation ({LREC}{'}04)",
month = may,
year = "2004",
address = "Lisbon, Portugal",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2004/pdf/403.pdf",
abstract = "This paper introduces a tool {\textbackslash}Bonsai which supports human in annotating corpora with morphosyntactic information, and in retrieving syntactic structures stored in the database. Integrating annotation and retrieval enables users to annotate a new instance while looking back at the already annotated sentences which share the similar morphosyntactic structure. We focus on the retrieval part of the system, and describe a method to decompose a large input query into smaller ones in order to gain retrieval efficiency. The proposed method is evaluated with the Penn Treebank corpus, showing significant improvements.",
}
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<abstract>This paper introduces a tool \textbackslashBonsai which supports human in annotating corpora with morphosyntactic information, and in retrieving syntactic structures stored in the database. Integrating annotation and retrieval enables users to annotate a new instance while looking back at the already annotated sentences which share the similar morphosyntactic structure. We focus on the retrieval part of the system, and describe a method to decompose a large input query into smaller ones in order to gain retrieval efficiency. The proposed method is evaluated with the Penn Treebank corpus, showing significant improvements.</abstract>
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%0 Conference Proceedings
%T Retrieving Annotated Corpora for Corpus Annotation
%A Yoshida, Kyôsuke
%A Hashimoto, Taiichi
%A Tokunaga, Takenobu
%A Tanaka, Hozumi
%Y Lino, Maria Teresa
%Y Xavier, Maria Francisca
%Y Ferreira, Fátima
%Y Costa, Rute
%Y Silva, Raquel
%S Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04)
%D 2004
%8 May
%I European Language Resources Association (ELRA)
%C Lisbon, Portugal
%F yoshida-etal-2004-retrieving
%X This paper introduces a tool \textbackslashBonsai which supports human in annotating corpora with morphosyntactic information, and in retrieving syntactic structures stored in the database. Integrating annotation and retrieval enables users to annotate a new instance while looking back at the already annotated sentences which share the similar morphosyntactic structure. We focus on the retrieval part of the system, and describe a method to decompose a large input query into smaller ones in order to gain retrieval efficiency. The proposed method is evaluated with the Penn Treebank corpus, showing significant improvements.
%U http://www.lrec-conf.org/proceedings/lrec2004/pdf/403.pdf
Markdown (Informal)
[Retrieving Annotated Corpora for Corpus Annotation](http://www.lrec-conf.org/proceedings/lrec2004/pdf/403.pdf) (Yoshida et al., LREC 2004)
ACL
- Kyôsuke Yoshida, Taiichi Hashimoto, Takenobu Tokunaga, and Hozumi Tanaka. 2004. Retrieving Annotated Corpora for Corpus Annotation. In Proceedings of the Fourth International Conference on Language Resources and Evaluation (LREC’04), Lisbon, Portugal. European Language Resources Association (ELRA).