103 citations · 192 across the 7 of their papers we have counts for
3 papers · 1 filter
Posing Fair Generalization Tasks for Natural Language Inference
Atticus Geiger, Ignacio Cases, Lauri Karttunen +1
Deep learning models for semantics are generally evaluated using naturalistic corpora. Adversarial methods, in which models are evaluated on new examples with known semantic proper…
Stress-Testing Neural Models of Natural Language Inference with Multiply-Quantified Sentences
Atticus Geiger, Ignacio Cases, Lauri Karttunen +1
Standard evaluations of deep learning models for semantics using naturalistic corpora are limited in what they can tell us about the fidelity of the learned representations, becaus…
On the Effective Use of Pretraining for Natural Language Inference
Ignacio Cases, Minh-Thang Luong, Christopher Potts
Neural networks have excelled at many NLP tasks, but there remain open questions about the performance of pretrained distributed word representations and their interaction with wei…