Learning to compose words into sentences with reinforcement learning

We use reinforcement learning to learn tree-structured neural networks for computing representations of natural language sentences. In contrast with prior work on tree-structured models in which the trees are either provided as input or predicted using supervision from explicit treebank annotations,...

Szczegółowa specyfikacja

Opis bibliograficzny
Główni autorzy: Yogatama, D, Blunsom, P, Dyer, C, Grefenstette, E, Ling, W
Format: Journal article
Wydane: International Conference on Learning Representations 2017

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