Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network
Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, Julien Kloetzer
- Anthology ID:
- D16-1132
- 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:
- 1244–1254
- Language:
- URL:
- https://aclanthology.org/D16-1132
- DOI:
- 10.18653/v1/D16-1132
- Cite (ACL):
- Ryu Iida, Kentaro Torisawa, Jong-Hoon Oh, Canasai Kruengkrai, and Julien Kloetzer. 2016. Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 1244–1254, Austin, Texas. Association for Computational Linguistics.
- Cite (Informal):
- Intra-Sentential Subject Zero Anaphora Resolution using Multi-Column Convolutional Neural Network (Iida et al., EMNLP 2016)
- PDF:
- https://preview.aclanthology.org/emnlp-22-attachments/D16-1132.pdf