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...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Association for Computational Linguistics
2022
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| Online Access: | https://hdl.handle.net/1721.1/137340.2 |