@inproceedings{rello-gayo-2012-portuguese,
title = "A {P}ortuguese-{S}panish Corpus Annotated for Subject Realization and Referentiality",
author = "Rello, Luz and
Gayo, Iria",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Do{\u{g}}an, Mehmet U{\u{g}}ur and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Eighth International Conference on Language Resources and Evaluation ({LREC}'12)",
month = may,
year = "2012",
address = "Istanbul, Turkey",
publisher = "European Language Resources Association (ELRA)",
url = "http://www.lrec-conf.org/proceedings/lrec2012/pdf/469_Paper.pdf",
pages = "154--157",
abstract = "This paper presents a comparable corpus of Portuguese and Spanish consisting of legal and health texts. We describe the annotation of zero subject, impersonal constructions and explicit subjects in the corpus. We annotated 12,492 examples using a scheme that distinguishes between different linguistic levels (phonology, syntax, semantics, etc.) and present a taxonomy of instances on which annotators disagree. The high level of inter-annotator agreement (83{\%}-95{\%}) and the performance of learning algorithms trained on the corpus show that our corpus is a reliable and useful resource.",
}
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%0 Conference Proceedings
%T A Portuguese-Spanish Corpus Annotated for Subject Realization and Referentiality
%A Rello, Luz
%A Gayo, Iria
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Doğan, Mehmet Uğur
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Eighth International Conference on Language Resources and Evaluation (LREC’12)
%D 2012
%8 May
%I European Language Resources Association (ELRA)
%C Istanbul, Turkey
%F rello-gayo-2012-portuguese
%X This paper presents a comparable corpus of Portuguese and Spanish consisting of legal and health texts. We describe the annotation of zero subject, impersonal constructions and explicit subjects in the corpus. We annotated 12,492 examples using a scheme that distinguishes between different linguistic levels (phonology, syntax, semantics, etc.) and present a taxonomy of instances on which annotators disagree. The high level of inter-annotator agreement (83%-95%) and the performance of learning algorithms trained on the corpus show that our corpus is a reliable and useful resource.
%U http://www.lrec-conf.org/proceedings/lrec2012/pdf/469_Paper.pdf
%P 154-157
Markdown (Informal)
[A Portuguese-Spanish Corpus Annotated for Subject Realization and Referentiality](http://www.lrec-conf.org/proceedings/lrec2012/pdf/469_Paper.pdf) (Rello & Gayo, LREC 2012)
ACL