no code implementations • 15 Nov 2022 • Saurabh Kulshreshtha, Anna Rumshisky
Multi-hop Question Generation is the task of generating questions which require the reader to reason over and combine information spread across multiple passages using several reasoning steps.
1 code implementation • ACL 2022 • Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde, Anna Rumshisky
Solving crossword puzzles requires diverse reasoning capabilities, access to a vast amount of knowledge about language and the world, and the ability to satisfy the constraints imposed by the structure of the puzzle.
Natural Language Understanding Open-Domain Question Answering +1
no code implementations • Findings (ACL) 2021 • Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers, Anna Rumshisky
Multiple studies have shown that Transformers are remarkably robust to pruning.
no code implementations • Findings of the Association for Computational Linguistics 2020 • Saurabh Kulshreshtha, José Luis Redondo-García, Ching-Yun Chang
In this paper we analyse how different forms of cross-lingual supervision and various alignment methods influence the transfer capability of mBERT in zero-shot setting.
no code implementations • 6 Mar 2018 • Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha, Peter Szolovits, Anna Rumshisky, Tristan Naumann
Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research.