Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking
Kateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti
- Anthology ID:
- N16-1152
- Volume:
- Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Month:
- June
- Year:
- 2016
- Address:
- San Diego, California
- Editors:
- Kevin Knight, Ani Nenkova, Owen Rambow
- Venue:
- NAACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1268–1278
- Language:
- URL:
- https://aclanthology.org/N16-1152
- DOI:
- 10.18653/v1/N16-1152
- Cite (ACL):
- Kateryna Tymoshenko, Daniele Bonadiman, and Alessandro Moschitti. 2016. Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking. In Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, pages 1268–1278, San Diego, California. Association for Computational Linguistics.
- Cite (Informal):
- Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking (Tymoshenko et al., NAACL 2016)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/N16-1152.pdf
- Data
- WikiQA