Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing
AbstractSequence-to-Sequence (S2S) models have achieved remarkable success on various text generation tasks. However, learning complex structures with S2S models remains challenging as external neural modules and additional lexicons are often supplemented to predict non-textual outpu...
Αποθηκεύτηκε σε:
| Κύριοι συγγραφείς: | , |
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| Μορφή: | Artigo |
| Γλώσσα: | Inglês |
| Έκδοση: |
The MIT Press
2023-01-01
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| Σειρά: | Transactions of the Association for Computational Linguistics |
| Διαθέσιμο Online: | https://direct.mit.edu/tacl/article/doi/10.1162/tacl_a_00557/116469/Unleashing-the-True-Potential-of-Sequence-to |
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