Towards Dynamic Computation Graphs via Sparse Latent Structure

EMNLP 2018 Vlad NiculaeAndré F. T. MartinsClaire Cardie

Deep NLP models benefit from underlying structures in the data---e.g., parse trees---typically extracted using off-the-shelf parsers. Recent attempts to jointly learn the latent structure encounter a tradeoff: either make factorization assumptions that limit expressiveness, or sacrifice end-to-end differentiability... (read more)

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