Structural Supervision Improves Learning of Non-Local Grammatical Dependencies
© 2019 Association for Computational Linguistics State-of-the-art LSTM language models trained on large corpora learn sequential contingencies in impressive detail and have been shown to acquire a number of non-local grammatical dependencies with some success. Here we investigate whether supervision...
| Format: | Article |
|---|---|
| Language: | English |
| Published: |
Association for Computational Linguistics
2021
|
| Online Access: | https://hdl.handle.net/1721.1/137340 |