3 papers
cs.CL2021
Analyzing the Effects of Reasoning Types on Cross-Lingual Transfer Performance
Karthikeyan K, Aalok Sathe, Somak Aditya +1
Multilingual language models achieve impressive zero-shot accuracies in many languages in complex tasks such as Natural Language Inference (NLI). Examples in NLI (and equivalent co…
cs.CL2021
Sample-efficient Linguistic Generalizations through Program Synthesis: Experiments with Phonology Problems
Saujas Vaduguru, Aalok Sathe, Monojit Choudhury +1
Neural models excel at extracting statistical patterns from large amounts of data, but struggle to learn patterns or reason about language from only a few examples. In this paper,…
cs.AI2020
TaxiNLI: Taking a Ride up the NLU Hill
Pratik Joshi, Somak Aditya, Aalok Sathe +1
Pre-trained Transformer-based neural architectures have consistently achieved state-of-the-art performance in the Natural Language Inference (NLI) task. Since NLI examples encompas…