9 citations · 13 across the 2 of their papers we have counts for
3 papers · 1 filter
Are All Spurious Features in Natural Language Alike? An Analysis through a Causal Lens
Nitish Joshi, Xiang Pan, He He
The term `spurious correlations' has been used in NLP to informally denote any undesirable feature-label correlations. However, a correlation can be undesirable because (i) the fea…
Explore, Propose, and Assemble: An Interpretable Model for Multi-Hop Reading Comprehension
Yichen Jiang, Nitish Joshi, Yen-Chun Chen +1
Multi-hop reading comprehension requires the model to explore and connect relevant information from multiple sentences/documents in order to answer the question about the context.…
Cross-Lingual Training for Automatic Question Generation
Vishwajeet Kumar, Nitish Joshi, Arijit Mukherjee +2
Automatic question generation (QG) is a challenging problem in natural language understanding. QG systems are typically built assuming access to a large number of training instance…