Latest episodes of the podcast NLP Highlights
Mostrando página 5 de 8
60 - FEVER: a large-scale dataset for Fact Extraction and VERification, with James Thorne
28/06/2018
58 - Learning What’s Easy: Fully Differentiable Neural Easy-First Taggers, with André Martins
08/06/2018
55 - Matchbox: Dispatch-driven autobatching for imperative deep learning, with James Bradbury
28/03/2018
53 - Classical Structured Prediction Losses for Sequence to Sequence Learning, with Sergey and Myle
21/03/2018
51 - A Regularized Framework for Sparse and Structured Neural Attention, with Vlad Niculae
12/03/2018
49 - A Joint Sequential and Relational Model for Frame-Semantic Parsing, with Bishan Yang
05/02/2018
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