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Tree LSTMs for Learning Sentence Representations

In this work we obtain sentence embeddings with a recursive model using dependency graphs as network structure, trained with dictionary definitions. We compare the performance of our recursive Tree-LSTMs against other deep learning models: a recurrent version which considers a sequential connection...

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Detalhes bibliográficos
Principais autores: Cerezo-Costas, Héctor, Martín-Vicente, Manuela, González-Castaño, F.J.
Formato: Chapter
Idioma:Inglês
Publicado em: Accademia University Press 2017
Acesso em linha:https://doi.org/10.4000/books.aaccademia.2373
https://hdl.handle.net/20.500.13089/1d7u
https://books.openedition.org/aaccademia/2373
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