Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.

Pavithra Rajendran, Danushka Bollegala, Simon Parsons


Anthology ID:
L18-1099
Volume:
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)
Month:
May
Year:
2018
Address:
Miyazaki, Japan
Editors:
Nicoletta Calzolari, Khalid Choukri, Christopher Cieri, Thierry Declerck, Sara Goggi, Koiti Hasida, Hitoshi Isahara, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asuncion Moreno, Jan Odijk, Stelios Piperidis, Takenobu Tokunaga
Venue:
LREC
SIG:
Publisher:
European Language Resources Association (ELRA)
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Pages:
Language:
URL:
https://aclanthology.org/L18-1099
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Bibkey:
Cite (ACL):
Pavithra Rajendran, Danushka Bollegala, and Simon Parsons. 2018. Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions.. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Cite (Informal):
Sentiment-Stance-Specificity (SSS) Dataset: Identifying Support-based Entailment among Opinions. (Rajendran et al., LREC 2018)
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https://preview.aclanthology.org/nschneid-patch-5/L18-1099.pdf