14 citations · 40 across the 10 of their papers we have counts for
Showing cs.CLShow all
2 papers · 1 filter
cs.CL2021
Minimax and Neyman-Pearson Meta-Learning for Outlier Languages
Edoardo Maria Ponti, Rahul Aralikatte, Disha Shrivastava +2
Model-agnostic meta-learning (MAML) has been recently put forth as a strategy to learn resource-poor languages in a sample-efficient fashion. Nevertheless, the properties of these…
cs.CL2018★ 2 cited
Modeling Topical Coherence in Discourse without Supervision
Disha Shrivastava, Abhijit Mishra, Karthik Sankaranarayanan
Coherence of text is an important attribute to be measured for both manually and automatically generated discourse; but well-defined quantitative metrics for it are still elusive.…