@inproceedings{napoles-etal-2017-finding,
title = "Finding Good Conversations Online: The {Y}ahoo {N}ews Annotated Comments Corpus",
author = "Napoles, Courtney and
Tetreault, Joel and
Pappu, Aasish and
Rosato, Enrica and
Provenzale, Brian",
editor = "Schneider, Nathan and
Xue, Nianwen",
booktitle = "Proceedings of the 11th Linguistic Annotation Workshop",
month = apr,
year = "2017",
address = "Valencia, Spain",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/W17-0802",
doi = "10.18653/v1/W17-0802",
pages = "13--23",
abstract = "This work presents a dataset and annotation scheme for the new task of identifying {``}good{''} conversations that occur online, which we call ERICs: Engaging, Respectful, and/or Informative Conversations. We develop a taxonomy to reflect features of entire threads and individual comments which we believe contribute to identifying ERICs; code a novel dataset of Yahoo News comment threads (2.4k threads and 10k comments) and 1k threads from the Internet Argument Corpus; and analyze the features characteristic of ERICs. This is one of the largest annotated corpora of online human dialogues, with the most detailed set of annotations. It will be valuable for identifying ERICs and other aspects of argumentation, dialogue, and discourse.",
}
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<abstract>This work presents a dataset and annotation scheme for the new task of identifying “good” conversations that occur online, which we call ERICs: Engaging, Respectful, and/or Informative Conversations. We develop a taxonomy to reflect features of entire threads and individual comments which we believe contribute to identifying ERICs; code a novel dataset of Yahoo News comment threads (2.4k threads and 10k comments) and 1k threads from the Internet Argument Corpus; and analyze the features characteristic of ERICs. This is one of the largest annotated corpora of online human dialogues, with the most detailed set of annotations. It will be valuable for identifying ERICs and other aspects of argumentation, dialogue, and discourse.</abstract>
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%0 Conference Proceedings
%T Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus
%A Napoles, Courtney
%A Tetreault, Joel
%A Pappu, Aasish
%A Rosato, Enrica
%A Provenzale, Brian
%Y Schneider, Nathan
%Y Xue, Nianwen
%S Proceedings of the 11th Linguistic Annotation Workshop
%D 2017
%8 April
%I Association for Computational Linguistics
%C Valencia, Spain
%F napoles-etal-2017-finding
%X This work presents a dataset and annotation scheme for the new task of identifying “good” conversations that occur online, which we call ERICs: Engaging, Respectful, and/or Informative Conversations. We develop a taxonomy to reflect features of entire threads and individual comments which we believe contribute to identifying ERICs; code a novel dataset of Yahoo News comment threads (2.4k threads and 10k comments) and 1k threads from the Internet Argument Corpus; and analyze the features characteristic of ERICs. This is one of the largest annotated corpora of online human dialogues, with the most detailed set of annotations. It will be valuable for identifying ERICs and other aspects of argumentation, dialogue, and discourse.
%R 10.18653/v1/W17-0802
%U https://aclanthology.org/W17-0802
%U https://doi.org/10.18653/v1/W17-0802
%P 13-23
Markdown (Informal)
[Finding Good Conversations Online: The Yahoo News Annotated Comments Corpus](https://aclanthology.org/W17-0802) (Napoles et al., LAW 2017)
ACL