@inproceedings{uryupina-etal-2016-arrau,
title = "{ARRAU}: Linguistically-Motivated Annotation of Anaphoric Descriptions",
author = "Uryupina, Olga and
Artstein, Ron and
Bristot, Antonella and
Cavicchio, Federica and
Rodriguez, Kepa and
Poesio, Massimo",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Goggi, Sara and
Grobelnik, Marko and
Maegaard, Bente and
Mariani, Joseph and
Mazo, Helene and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Tenth International Conference on Language Resources and Evaluation ({LREC}'16)",
month = may,
year = "2016",
address = "Portoro{\v{z}}, Slovenia",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L16-1326",
pages = "2058--2062",
abstract = "This paper presents a second release of the ARRAU dataset: a multi-domain corpus with thorough linguistically motivated annotation of anaphora and related phenomena. Building upon the first release almost a decade ago, a considerable effort had been invested in improving the data both quantitatively and qualitatively. Thus, we have doubled the corpus size, expanded the selection of covered phenomena to include referentiality and genericity and designed and implemented a methodology for enforcing the consistency of the manual annotation. We believe that the new release of ARRAU provides a valuable material for ongoing research in complex cases of coreference as well as for a variety of related tasks. The corpus is publicly available through LDC.",
}
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%0 Conference Proceedings
%T ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions
%A Uryupina, Olga
%A Artstein, Ron
%A Bristot, Antonella
%A Cavicchio, Federica
%A Rodriguez, Kepa
%A Poesio, Massimo
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Goggi, Sara
%Y Grobelnik, Marko
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Mazo, Helene
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC’16)
%D 2016
%8 May
%I European Language Resources Association (ELRA)
%C Portorož, Slovenia
%F uryupina-etal-2016-arrau
%X This paper presents a second release of the ARRAU dataset: a multi-domain corpus with thorough linguistically motivated annotation of anaphora and related phenomena. Building upon the first release almost a decade ago, a considerable effort had been invested in improving the data both quantitatively and qualitatively. Thus, we have doubled the corpus size, expanded the selection of covered phenomena to include referentiality and genericity and designed and implemented a methodology for enforcing the consistency of the manual annotation. We believe that the new release of ARRAU provides a valuable material for ongoing research in complex cases of coreference as well as for a variety of related tasks. The corpus is publicly available through LDC.
%U https://aclanthology.org/L16-1326
%P 2058-2062
Markdown (Informal)
[ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions](https://aclanthology.org/L16-1326) (Uryupina et al., LREC 2016)
ACL
- Olga Uryupina, Ron Artstein, Antonella Bristot, Federica Cavicchio, Kepa Rodriguez, and Massimo Poesio. 2016. ARRAU: Linguistically-Motivated Annotation of Anaphoric Descriptions. In Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16), pages 2058–2062, Portorož, Slovenia. European Language Resources Association (ELRA).