What do RNN Language Models Learn about Filler–Gap Dependencies?
Name
W18-5423.pdf
Description
Published version
Size
215.83 KB
Format
Adobe PDF
Checksum (MD5)
ccf9054d8403c63e18f7312c6915b186
Author(s)
Wilcox, Ethan
Levy, Roger
Morita, Takashi
Futrell, Richard
Date Issued
2018
Journal
Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP
Publisher
Association for Computational Linguistics
Citation
Wilcox, Ethan, Levy, Roger, Morita, Takashi and Futrell, Richard. 2018. "What do RNN Language Models Learn about Filler–Gap Dependencies?." Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP.
Version
Final published version
MIT Department
Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences
Massachusetts Institute of Technology. Department of Linguistics and Philosophy
Terms of Use
Creative Commons Attribution 4.0 International license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.18653/v1/w18-5423
