2 citations · 2 across the 1 of their papers we have counts for
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MERGE: Minimal Expression-Replacement GEneralization Test for Natural Language Inference
Mădălina Zgreabăn, Tejaswini Deoskar, Lasha Abzianidze
As many benchmarks have become saturated, it has become increasingly important to create new datasets that evaluate the generalization capacity of current state-of-the-art models i…
Generating image captions with external encyclopedic knowledge
Sofia Nikiforova, Tejaswini Deoskar, Denis Paperno +1
Accurately reporting what objects are depicted in an image is largely a solved problem in automatic caption generation. The next big challenge on the way to truly humanlike caption…
Constructive Type-Logical Supertagging with Self-Attention Networks
Konstantinos Kogkalidis, Michael Moortgat, Tejaswini Deoskar
We propose a novel application of self-attention networks towards grammar induction. We present an attention-based supertagger for a refined type-logical grammar, trained on constr…