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
Bibkey:
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)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-acl-2023-videos/N16-1152.pdf
Data
WikiQA