Credit for the original idea: Abney (1991).
TODO: a good paper detailing training biases: Aufrant et al. (2017). I think much of the problems they addressed is implicitly solved using reinforcement learning.
- Abney, S. P. (1991). Parsing By Chunks. Principle-Based Parsing, 257–278. doi:10.1.1.11.8199
- Kübler, S., Mcdonald, R., & Nivre, J. (2007). Dependency Parsing.
- Kudo, Taku and Matsumoto, Yuji (2002). Japanese dependency analysis using cascaded chunking, Proceedings of the 6th Workshop on Computational Language Learning (CoNLL), Taipei, Taiwan, pp. 63–69.
- Yamada, Hiroyasu and Matsumoto, Yuji (2003). Statistical dependency analysis with support vector machines, Proceedings of the 8th International Workshop on Parsing Technologies (IWPT), Nancy, France, pp. 195–206.
- Lauriane Aufrant, Guillaume Wisniewski and François Yvon. Don’t Stop Me Now! Using Global Dynamic Oracles to Correct Training Biases of Transition-Based Dependency Parsers. EACL 2017