most citedCultural Re-contextualization of Fairness Research in Language Technologies in India

2 citations · 4 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CL20222 cited

Cultural Re-contextualization of Fairness Research in Language Technologies in India

Shaily Bhatt, Sunipa Dev, Partha Talukdar +2

Recent research has revealed undesirable biases in NLP data and models. However, these efforts largely focus on social disparities in the West, and are not directly portable to oth…

cs.CL20211 cited

OKGIT: Open Knowledge Graph Link Prediction with Implicit Types

Chandrahas, Partha Pratim Talukdar

Open Knowledge Graphs (OpenKG) refer to a set of (head noun phrase, relation phrase, tail noun phrase) triples such as (tesla, return to, new york) extracted from a corpus using Op…

cs.CL20211 cited

MergeDistill: Merging Pre-trained Language Models using Distillation

Simran Khanuja, Melvin Johnson, Partha Talukdar

Pre-trained multilingual language models (LMs) have achieved state-of-the-art results in cross-lingual transfer, but they often lead to an inequitable representation of languages d…

cs.CL2021

Reordering Examples Helps during Priming-based Few-Shot Learning

Sawan Kumar, Partha Talukdar

The ability to learn from limited data, or few-shot learning, is a desirable and often critical requirement for NLP systems. While many existing methods do poorly at learning from…

cs.LG2021

Question Answering Over Temporal Knowledge Graphs

Apoorv Saxena, Soumen Chakrabarti, Partha Talukdar

Temporal Knowledge Graphs (Temporal KGs) extend regular Knowledge Graphs by providing temporal scopes (start and end times) on each edge in the KG. While Question Answering over KG…