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
- 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)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/D16-1104.pdf