Are Word Embedding-based Features Useful for Sarcasm Detection?

Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, Mark Carman


Anthology ID:
D16-1104
Volume:
Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing
Month:
November
Year:
2016
Address:
Austin, Texas
Editors:
Jian Su, Kevin Duh, Xavier Carreras
Venue:
EMNLP
SIG:
SIGDAT
Publisher:
Association for Computational Linguistics
Note:
Pages:
1006–1011
Language:
URL:
https://aclanthology.org/D16-1104
DOI:
10.18653/v1/D16-1104
Bibkey:
Cite (ACL):
Aditya Joshi, Vaibhav Tripathi, Kevin Patel, Pushpak Bhattacharyya, and Mark Carman. 2016. Are Word Embedding-based Features Useful for Sarcasm Detection?. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1006–1011, Austin, Texas. Association for Computational Linguistics.
Cite (Informal):
Are Word Embedding-based Features Useful for Sarcasm Detection? (Joshi et al., EMNLP 2016)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-bitext-workshop/D16-1104.pdf