@inproceedings{poesio-etal-2024-arrau,
title = "The {ARRAU} 3.0 Corpus",
author = {Poesio, Massimo and
Camilleri, Maris and
Carretero Garcia, Paloma and
Yu, Juntao and
M{\"u}ller, Mark-Christoph},
editor = "Strube, Michael and
Braud, Chloe and
Hardmeier, Christian and
Li, Junyi Jessy and
Loaiciga, Sharid and
Zeldes, Amir and
Li, Chuyuan",
booktitle = "Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.codi-1.12",
pages = "127--138",
abstract = "The ARRAU corpus is an anaphorically annotated corpus designed to cover a wide variety of aspects of anaphoric reference in a variety of genres, including both written text and spoken language. The objective of this annotation project is to push forward the state of the art in anaphoric annotation, by overcoming the limitations of current annotation practice and the scope of current models of anaphoric interpretation, which in turn may reveal other issues. The resulting corpus is still therefore very much a work in progress almost twenty years after the project started. In this paper, we discuss the issues identified with the coding scheme used for the previous release, ARRAU 2, and through the use of this corpus for three shared tasks; the proposed solutions to these issues; and the resulting corpus, ARRAU 3.",
}
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%0 Conference Proceedings
%T The ARRAU 3.0 Corpus
%A Poesio, Massimo
%A Camilleri, Maris
%A Carretero Garcia, Paloma
%A Yu, Juntao
%A Müller, Mark-Christoph
%Y Strube, Michael
%Y Braud, Chloe
%Y Hardmeier, Christian
%Y Li, Junyi Jessy
%Y Loaiciga, Sharid
%Y Zeldes, Amir
%Y Li, Chuyuan
%S Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F poesio-etal-2024-arrau
%X The ARRAU corpus is an anaphorically annotated corpus designed to cover a wide variety of aspects of anaphoric reference in a variety of genres, including both written text and spoken language. The objective of this annotation project is to push forward the state of the art in anaphoric annotation, by overcoming the limitations of current annotation practice and the scope of current models of anaphoric interpretation, which in turn may reveal other issues. The resulting corpus is still therefore very much a work in progress almost twenty years after the project started. In this paper, we discuss the issues identified with the coding scheme used for the previous release, ARRAU 2, and through the use of this corpus for three shared tasks; the proposed solutions to these issues; and the resulting corpus, ARRAU 3.
%U https://aclanthology.org/2024.codi-1.12
%P 127-138
Markdown (Informal)
[The ARRAU 3.0 Corpus](https://aclanthology.org/2024.codi-1.12) (Poesio et al., CODI-WS 2024)
ACL
- Massimo Poesio, Maris Camilleri, Paloma Carretero Garcia, Juntao Yu, and Mark-Christoph Müller. 2024. The ARRAU 3.0 Corpus. In Proceedings of the 5th Workshop on Computational Approaches to Discourse (CODI 2024), pages 127–138, St. Julians, Malta. Association for Computational Linguistics.