Better Document-level Sentiment Analysis from RST Discourse Parsing

Parminder Bhatia, Yangfeng Ji, Jacob Eisenstein


Anthology ID:
D15-1263
Volume:
Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing
Month:
September
Year:
2015
Address:
Lisbon, Portugal
Editors:
Lluís Màrquez, Chris Callison-Burch, Jian Su
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
2212–2218
Language:
URL:
https://aclanthology.org/D15-1263
DOI:
10.18653/v1/D15-1263
Bibkey:
Cite (ACL):
Parminder Bhatia, Yangfeng Ji, and Jacob Eisenstein. 2015. Better Document-level Sentiment Analysis from RST Discourse Parsing. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 2212–2218, Lisbon, Portugal. Association for Computational Linguistics.
Cite (Informal):
Better Document-level Sentiment Analysis from RST Discourse Parsing (Bhatia et al., EMNLP 2015)
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PDF:
https://preview.aclanthology.org/naacl24-info/D15-1263.pdf