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Jointly Learning Syntax and Semantics

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If you have a question about this talk, please contact Andrew Caines.

I will be presenting my work on latent tree sentence embedding models. These recurrent neural networks learn to induce binary parse trees, and at the same time use them to interpret a sentence. This is achieved by incorporating a differentiable parser into the model, optimised jointly with a Tree-LSTM composition function.

This talk is part of the NLIP Seminar Series series.

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