@inproceedings{niraula-etal-2014-dare,
title = "The {DARE} Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems",
author = "Niraula, Nobal and
Rus, Vasile and
Banjade, Rajendra and
Stefanescu, Dan and
Baggett, William and
Morgan, Brent",
editor = "Calzolari, Nicoletta and
Choukri, Khalid and
Declerck, Thierry and
Loftsson, Hrafn and
Maegaard, Bente and
Mariani, Joseph and
Moreno, Asuncion and
Odijk, Jan and
Piperidis, Stelios",
booktitle = "Proceedings of the Ninth International Conference on Language Resources and Evaluation ({LREC}'14)",
month = may,
year = "2014",
address = "Reykjavik, Iceland",
publisher = "European Language Resources Association (ELRA)",
url = "https://aclanthology.org/L14-1320/",
pages = "3199--3203",
abstract = "We describe the DARE corpus, an annotated data set focusing on pronoun resolution in tutorial dialogue. Although data sets for general purpose anaphora resolution exist, they are not suitable for dialogue based Intelligent Tutoring Systems. To the best of our knowledge, no data set is currently available for pronoun resolution in dialogue based intelligent tutoring systems. The described DARE corpus consists of 1,000 annotated pronoun instances collected from conversations between high-school students and the intelligent tutoring system DeepTutor. The data set is publicly available."
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%0 Conference Proceedings
%T The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems
%A Niraula, Nobal
%A Rus, Vasile
%A Banjade, Rajendra
%A Stefanescu, Dan
%A Baggett, William
%A Morgan, Brent
%Y Calzolari, Nicoletta
%Y Choukri, Khalid
%Y Declerck, Thierry
%Y Loftsson, Hrafn
%Y Maegaard, Bente
%Y Mariani, Joseph
%Y Moreno, Asuncion
%Y Odijk, Jan
%Y Piperidis, Stelios
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 May
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F niraula-etal-2014-dare
%X We describe the DARE corpus, an annotated data set focusing on pronoun resolution in tutorial dialogue. Although data sets for general purpose anaphora resolution exist, they are not suitable for dialogue based Intelligent Tutoring Systems. To the best of our knowledge, no data set is currently available for pronoun resolution in dialogue based intelligent tutoring systems. The described DARE corpus consists of 1,000 annotated pronoun instances collected from conversations between high-school students and the intelligent tutoring system DeepTutor. The data set is publicly available.
%U https://aclanthology.org/L14-1320/
%P 3199-3203
Markdown (Informal)
[The DARE Corpus: A Resource for Anaphora Resolution in Dialogue Based Intelligent Tutoring Systems](https://aclanthology.org/L14-1320/) (Niraula et al., LREC 2014)
ACL