activity
20182022
most citedCross-lingual Alignment Methods for Multilingual BERT: A Comparative Study

3 citations · 3 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL2022

Reasoning Circuits: Few-shot Multihop Question Generation with Structured Rationales

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 reas…

cs.CL2022

Down and Across: Introducing Crossword-Solving as a New NLP Benchmark

Saurabh Kulshreshtha, Olga Kovaleva, Namrata Shivagunde +1

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 imp…

cs.CL2021

BERT Busters: Outlier Dimensions that Disrupt Transformers

Olga Kovaleva, Saurabh Kulshreshtha, Anna Rogers +1

Multiple studies have shown that Transformers are remarkably robust to pruning. Contrary to this received wisdom, we demonstrate that pre-trained Transformer encoders are surprisin…

cs.CL20203 cited

Cross-lingual Alignment Methods for Multilingual BERT: A Comparative Study

Saurabh Kulshreshtha, José Luis Redondo-García, Ching-Yun Chang

Multilingual BERT (mBERT) has shown reasonable capability for zero-shot cross-lingual transfer when fine-tuned on downstream tasks. Since mBERT is not pre-trained with explicit cro…

cs.CL2018

CliNER 2.0: Accessible and Accurate Clinical Concept Extraction

Willie Boag, Elena Sergeeva, Saurabh Kulshreshtha +3

Clinical notes often describe important aspects of a patient's stay and are therefore critical to medical research. Clinical concept extraction (CCE) of named entities - such as pr…