activity
20202026
most citedRepresentation Deficiency in Masked Language Modeling

3 citations · 6 across the 9 of their papers we have counts for

collaborators
Showing cs.CLShow all

6 papers · 1 filter

cs.CL2026

Debiasing Large Language Models toward Social Factors in Online Behavior Analytics through Prompt Knowledge Tuning

Hossein Salemi, Jitin Krishnan, Hemant Purohit

Attribution theory explains how individuals interpret and attribute others' behavior in a social context by employing personal (dispositional) and impersonal (situational) causalit…

cs.CL2023★ 3 cited

Representation Deficiency in Masked Language Modeling

Yu Meng, Jitin Krishnan, Sinong Wang +6

Masked Language Modeling (MLM) has been one of the most prominent approaches for pretraining bidirectional text encoders due to its simplicity and effectiveness. One notable concer…

cs.CL2021

Cross-Lingual Text Classification of Transliterated Hindi and Malayalam

Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1

Transliteration is very common on social media, but transliterated text is not adequately handled by modern neural models for various NLP tasks. In this work, we combine data augme…

cs.CL2021

Multilingual Code-Switching for Zero-Shot Cross-Lingual Intent Prediction and Slot Filling

Jitin Krishnan, Antonios Anastasopoulos, Hemant Purohit +1

Predicting user intent and detecting the corresponding slots from text are two key problems in Natural Language Understanding (NLU). In the context of zero-shot learning, this task…

cs.CL2020★ 1 cited

Common-Knowledge Concept Recognition for SEVA

Jitin Krishnan, Patrick Coronado, Hemant Purohit +1

We build a common-knowledge concept recognition system for a Systems Engineer's Virtual Assistant (SEVA) which can be used for downstream tasks such as relation extraction, knowled…

cs.CL2020

Unsupervised and Interpretable Domain Adaptation to Rapidly Filter Tweets for Emergency Services

Jitin Krishnan, Hemant Purohit, Huzefa Rangwala

During the onset of a disaster event, filtering relevant information from the social web data is challenging due to its sparse availability and practical limitations in labeling da…