Cross-Lingual Alignment of Contextual Word Embeddings, with Applications to Zero-shot Dependency Parsing
We introduce a novel method for multilingual transfer that utilizes deep contextual embeddings, pretrained in an unsupervised fashion. While contextual embeddings have been shown to yield richer representations of meaning compared to their static counterparts, aligning them poses a challenge due to...
| Main Authors: | , , , |
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| Outros autores: | |
| Formato: | Artigo |
| Idioma: | English |
| Publicado: |
Association for Computational Linguistics
2020
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| Acceso en liña: | https://hdl.handle.net/1721.1/128715 |