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A formal specification for syntactic annotation and its usage in corpus development and maintenance: a case study in universal dependencies
Linguistically annotated data are currently crucial resources for natural language processing (NLP). They are necessary for both evaluation and as input to training machine learning models of language. However, producing new datasets is a very time and labor-consuming. Usually some expertise in ling...
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| Autor principal: | |
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| Formato: | Dissertação |
| Idioma: | Inglês |
| Publicado em: |
Universidade Federal do Rio de Janeiro
2018-08
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| Assuntos: | |
| Acesso em linha: | http://hdl.handle.net/11422/13142 |
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