@inproceedings{kabadjov-etal-2016-onforums,
title = "The {O}n{F}orum{S} corpus from the Shared Task on Online Forum Summarisation at {M}ulti{L}ing 2015",
author = "Kabadjov, Mijail and
Kruschwitz, Udo and
Poesio, Massimo and
Steinberger, Josef and
Valderrama, Jorge and
Zaragoza, Hugo",
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/L16-1131",
pages = "814--818",
abstract = "In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing{'}15). The corpus consists of a set of news articles with associated readers{'} comments from The Guardian (English) and La Repubblica (Italian). It comes with four levels of annotation: argument structure, comment-article linking, sentiment and coreference. The former three were produced through crowdsourcing, whereas the latter, by an experienced annotator using a mature annotation scheme. Given its annotation breadth, we believe the corpus will prove a useful resource in stimulating and furthering research in the areas of Argumentation Mining, Summarisation, Sentiment, Coreference and the interlinks therein.",
}
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%0 Conference Proceedings
%T The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015
%A Kabadjov, Mijail
%A Kruschwitz, Udo
%A Poesio, Massimo
%A Steinberger, Josef
%A Valderrama, Jorge
%A Zaragoza, Hugo
%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 kabadjov-etal-2016-onforums
%X In this paper we present the OnForumS corpus developed for the shared task of the same name on Online Forum Summarisation (OnForumS at MultiLing’15). The corpus consists of a set of news articles with associated readers’ comments from The Guardian (English) and La Repubblica (Italian). It comes with four levels of annotation: argument structure, comment-article linking, sentiment and coreference. The former three were produced through crowdsourcing, whereas the latter, by an experienced annotator using a mature annotation scheme. Given its annotation breadth, we believe the corpus will prove a useful resource in stimulating and furthering research in the areas of Argumentation Mining, Summarisation, Sentiment, Coreference and the interlinks therein.
%U https://aclanthology.org/L16-1131
%P 814-818
Markdown (Informal)
[The OnForumS corpus from the Shared Task on Online Forum Summarisation at MultiLing 2015](https://aclanthology.org/L16-1131) (Kabadjov et al., LREC 2016)
ACL