@inproceedings{fraisse-paroubek-2014-toward,
title = "Toward a unifying model for Opinion, Sentiment and Emotion information extraction",
author = "Fraisse, Amel and
Paroubek, Patrick",
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 = "http://www.lrec-conf.org/proceedings/lrec2014/pdf/1010_Paper.pdf",
pages = "3881--3886",
abstract = "This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora.",
}
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%0 Conference Proceedings
%T Toward a unifying model for Opinion, Sentiment and Emotion information extraction
%A Fraisse, Amel
%A Paroubek, Patrick
%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 fraisse-paroubek-2014-toward
%X This paper presents a logical formalization of a set 20 semantic categories related to opinion, emotion and sentiment. Our formalization is based on the BDI model (Belief, Desire and Intetion) and constitues a first step toward a unifying model for subjective information extraction. The separability of the subjective classes that we propose was assessed both formally and on two subjective reference corpora.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/1010_Paper.pdf
%P 3881-3886
Markdown (Informal)
[Toward a unifying model for Opinion, Sentiment and Emotion information extraction](http://www.lrec-conf.org/proceedings/lrec2014/pdf/1010_Paper.pdf) (Fraisse & Paroubek, LREC 2014)
ACL