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20222025
most citedACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER

3 citations · 15 across the 20 of their papers we have counts for

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Showing 2023Show all

7 papers · 1 filter

cs.CL2023

DALE: Generative Data Augmentation for Low-Resource Legal NLP

Sreyan Ghosh, Chandra Kiran Evuru, Sonal Kumar +4

We present DALE, a novel and effective generative Data Augmentation framework for low-resource LEgal NLP. DALE addresses the challenges existing frameworks pose in generating effec…

cs.SD2023★ 1 cited

CompA: Addressing the Gap in Compositional Reasoning in Audio-Language Models

Sreyan Ghosh, Ashish Seth, Sonal Kumar +7

A fundamental characteristic of audio is its compositional nature. Audio-language models (ALMs) trained using a contrastive approach (e.g., CLAP) that learns a shared representatio…

cs.CV2023

AdVerb: Visually Guided Audio Dereverberation

Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta +3

We present AdVerb, a novel audio-visual dereverberation framework that uses visual cues in addition to the reverberant sound to estimate clean audio. Although audio-only dereverber…

cs.CV2023

ASPIRE: Language-Guided Data Augmentation for Improving Robustness Against Spurious Correlations

Sreyan Ghosh, Chandra Kiran Reddy Evuru, Sonal Kumar +4

Neural image classifiers can often learn to make predictions by overly relying on non-predictive features that are spuriously correlated with the class labels in the training data.…

cs.CL2023★ 3 cited

ACLM: A Selective-Denoising based Generative Data Augmentation Approach for Low-Resource Complex NER

Sreyan Ghosh, Utkarsh Tyagi, Manan Suri +3

Complex Named Entity Recognition (NER) is the task of detecting linguistically complex named entities in low-context text. In this paper, we present ACLM Attention-map aware keywor…

cs.CL2023★ 2 cited

BioAug: Conditional Generation based Data Augmentation for Low-Resource Biomedical NER

Sreyan Ghosh, Utkarsh Tyagi, Sonal Kumar +1

Biomedical Named Entity Recognition (BioNER) is the fundamental task of identifying named entities from biomedical text. However, BioNER suffers from severe data scarcity and lacks…

cs.LG2023★ 1 cited

CoSyn: Detecting Implicit Hate Speech in Online Conversations Using a Context Synergized Hyperbolic Network

Sreyan Ghosh, Manan Suri, Purva Chiniya +3

The tremendous growth of social media users interacting in online conversations has led to significant growth in hate speech, affecting people from various demographics. Most of th…