activity
20092022
most citedMuRIL: Multilingual Representations for Indian Languages

160 citations · 428 across the 18 of their papers we have counts for

collaborators

30 papers

cs.CL2022

Overlap-based Vocabulary Generation Improves Cross-lingual Transfer Among Related Languages

Vaidehi Patil, Partha Talukdar, Sunita Sarawagi

Pre-trained multilingual language models such as mBERT and XLM-R have demonstrated great potential for zero-shot cross-lingual transfer to low web-resource languages (LRL). However…

cs.CL2021

Multilingual Fact Linking

Keshav Kolluru, Martin Rezk, Pat Verga +2

Knowledge-intensive NLP tasks can benefit from linking natural language text with facts from a Knowledge Graph (KG). Although facts themselves are language-agnostic, the fact label…

cs.CL2021

Exploiting Language Relatedness for Low Web-Resource Language Model Adaptation: An Indic Languages Study

Yash Khemchandani, Sarvesh Mehtani, Vaidehi Patil +3

Recent research in multilingual language models (LM) has demonstrated their ability to effectively handle multiple languages in a single model. This holds promise for low web-resou…

cs.CL2021160 cited

MuRIL: Multilingual Representations for Indian Languages

Simran Khanuja, Diksha Bansal, Sarvesh Mehtani +11

India is a multilingual society with 1369 rationalized languages and dialects being spoken across the country (INDIA, 2011). Of these, the 22 scheduled languages have a staggering…

cs.RO2020

Spatial Reasoning from Natural Language Instructions for Robot Manipulation

Sagar Gubbi Venkatesh, Anirban Biswas, Raviteja Upadrashta +3

Robots that can manipulate objects in unstructured environments and collaborate with humans can benefit immensely by understanding natural language. We propose a pipelined architec…

cs.CL2020

NILE : Natural Language Inference with Faithful Natural Language Explanations

Sawan Kumar, Partha Talukdar

The recent growth in the popularity and success of deep learning models on NLP classification tasks has accompanied the need for generating some form of natural language explanatio…