b'Manish Gupta'

research

∙ 07/28/2023

Trie-NLG: Trie Context Augmentation to Improve Personalized Query Auto-Completion for Short and Unseen Prefixes

Query auto-completion (QAC) aims at suggesting plausible completions for...

0 Kaushal Kumar Maurya, et al. ∙

research

∙ 06/29/2023

Answer Mining from a Pool of Images: Towards Retrieval-Based Visual Question Answering

We study visual question answering in a setting where the answer has to ...

1 Abhirama Subramanyam Penamakuri, et al. ∙

research

∙ 06/15/2023

Neural models for Factual Inconsistency Classification with Explanations

Factual consistency is one of the most important requirements when editi...

0 Tathagata Raha, et al. ∙

research

∙ 05/24/2023

Frugal Prompting for Dialog Models

The use of large language models (LLMs) in natural language processing (...

0 Bishal Santra, et al. ∙

research

∙ 05/23/2023

On Robustness of Finetuned Transformer-based NLP Models

Transformer-based pretrained models like BERT, GPT-2 and T5 have been fi...

0 Pavan Kalyan Reddy Neerudu, et al. ∙

research

∙ 05/06/2023

HateMM: A Multi-Modal Dataset for Hate Video Classification

Hate speech has become one of the most significant issues in modern soci...

0 Mithun Das, et al. ∙

research

∙ 03/22/2023

XWikiGen: Cross-lingual Summarization for Encyclopedic Text Generation in Low Resource Languages

Lack of encyclopedic text contributors, especially on Wikipedia, makes a...

0 Dhaval Taunk, et al. ∙

research

∙ 03/09/2023

Unsupervised Language agnostic WER Standardization

Word error rate (WER) is a standard metric for the evaluation of Automat...

0 Satarupa Guha, et al. ∙

research

∙ 02/16/2023

Syntactic Structure Processing in the Brain while Listening

Syntactic parsing is the task of assigning a syntactic structure to a se...

0 Subba Reddy Oota, et al. ∙

research

∙ 12/31/2022

Towards Proactively Forecasting Sentence-Specific Information Popularity within Online News Documents

Multiple studies have focused on predicting the prospective popularity o...

0 Sayar Ghosh Roy, et al. ∙

research

∙ 12/15/2022

Joint processing of linguistic properties in brains and language models

Language models have been shown to be very effective in predicting brain...

0 Subba Reddy Oota, et al. ∙

research

∙ 09/22/2022

XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages

Multiple business scenarios require an automated generation of descripti...

7 Shivprasad Sagare, et al. ∙

research

∙ 05/21/2022

CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models

Natural Language Generation (NLG) represents a large collection of tasks...

9 Bishal Santra, et al. ∙

research

∙ 05/03/2022

Neural Language Taskonomy: Which NLP Tasks are the most Predictive of fMRI Brain Activity?

Several popular Transformer based language models have been found to be ...

13 Subba Reddy Oota, et al. ∙

research

∙ 04/18/2022

Visio-Linguistic Brain Encoding

Enabling effective brain-computer interfaces requires understanding how ...

3 Subba Reddy Oota, et al. ∙

research

∙ 04/18/2022

Cross-view Brain Decoding

How the brain captures the meaning of linguistic stimuli across multiple...

0 Subba Reddy Oota, et al. ∙

research

∙ 03/17/2022

DP-KB: Data Programming with Knowledge Bases Improves Transformer Fine Tuning for Answer Sentence Selection

While transformers demonstrate impressive performance on many knowledge ...

9 Nic Jedema, et al. ∙

research

∙ 02/08/2022

NEWSKVQA: Knowledge-Aware News Video Question Answering

Answering questions in the context of videos can be helpful in video ind...

12 Pranay Gupta, et al. ∙

research

∙ 02/01/2022

XAlign: Cross-lingual Fact-to-Text Alignment and Generation for Low-Resource Languages

Multiple critical scenarios (like Wikipedia text generation given Englis...

0 Tushar Abhishek, et al. ∙

research

∙ 12/04/2021

Representation Learning for Conversational Data using Discourse Mutual Information Maximization

Although many pretrained models exist for text or images, there have bee...

0 Bishal Santra, et al. ∙

research

∙ 09/05/2021

Transformer Models for Text Coherence Assessment

Coherence is an important aspect of text quality and is crucial for ensu...

0 Tushar Abhishek, et al. ∙

research

∙ 08/19/2021

Efficient remedies for outlier detection with variational autoencoders

Deep networks often make confident, yet incorrect, predictions when test...

8 Kushal Chauhan, et al. ∙

research

∙ 04/13/2021

"Subverting the Jewtocracy": Online Antisemitism Detection Using Multimodal Deep Learning

The exponential rise of online social media has enabled the creation, di...

0 Mohit Chandra, et al. ∙

research

∙ 03/24/2021

Discovering Multiple Design Approaches in Programming Assignment Submissions

In this paper, we present a novel approach of automated evaluation of pr...

0 Nikhila KN, et al. ∙

research

∙ 01/10/2021

Summaformers @ LaySumm 20, LongSumm 20

Automatic text summarization has been widely studied as an important tas...

1 Sayar Ghosh Roy, et al. ∙

research

∙ 12/18/2020

Should I visit this place? Inclusion and Exclusion Phrase Mining from Reviews

Although several automatic itinerary generation services have made trave...

0 Omkar Gurjar, et al. ∙

research

∙ 09/30/2020

AbuseAnalyzer: Abuse Detection, Severity and Target Prediction for Gab Posts

While extensive popularity of online social media platforms has made inf...

0 Mohit Chandra, et al. ∙

research

∙ 08/12/2020

Compression of Deep Learning Models for Text: A Survey

In recent years, the fields of natural language processing (NLP) and inf...

60 Manish Gupta, et al. ∙

research

∙ 01/15/2020

Stereotypical Bias Removal for Hate Speech Detection Task using Knowledge-based Generalizations

With the ever-increasing cases of hate spread on social media platforms,...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 12/25/2019

Hybrid MemNet for Extractive Summarization

Extractive text summarization has been an extensive research problem in ...

0 Abhishek Kumar Singh, et al. ∙

research

∙ 12/25/2019

Unity in Diversity: Learning Distributed Heterogeneous Sentence Representation for Extractive Summarization

Automated multi-document extractive text summarization is a widely studi...

0 Abhishek Kumar Singh, et al. ∙

research

∙ 10/10/2019

Multi-label Categorization of Accounts of Sexism using a Neural Framework

Sexism, an injustice that subjects women and girls to enormous suffering...

0 Pulkit Parikh, et al. ∙

research

∙ 03/12/2019

What sets Verified Users apart? Insights, Analysis and Prediction of Verified Users on Twitter

Social network and publishing platforms, such as Twitter, support the co...

0 Indraneil Paul, et al. ∙

research

∙ 12/23/2018

Elites Tweet? Characterizing the Twitter Verified User Network

Social network and publishing platforms, such as Twitter, support the co...

0 Indraneil Paul, et al. ∙

research

∙ 08/29/2018

Attention-based Neural Text Segmentation

Text segmentation plays an important role in various Natural Language Pr...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 04/02/2018

Under the Shadow of Sunshine: Characterizing Spam Campaigns Abusing Phone Numbers Across Online Social Networks

Cybercriminals abuse Online Social Networks (OSNs) to lure victims into ...

0 Srishti Gupta, et al. ∙

research

∙ 02/18/2018

Inductive Framework for Multi-Aspect Streaming Tensor Completion with Side Information

Low-rank tensor completion is a well-studied problem and has application...

0 Madhav Nimishakavi, et al. ∙

research

∙ 02/14/2018

Multi-Task Learning for Extraction of Adverse Drug Reaction Mentions from Tweets

Adverse drug reactions (ADRs) are one of the leading causes of mortality...

0 Shashank Gupta, et al. ∙

research

∙ 02/14/2018

Co-training for Extraction of Adverse Drug Reaction Mentions from Tweets

Adverse drug reactions (ADRs) are one of the leading causes of mortality...

0 Shashank Gupta, et al. ∙

research

∙ 11/11/2017

STWalk: Learning Trajectory Representations in Temporal Graphs

Analyzing the temporal behavior of nodes in time-varying graphs is usefu...

0 Supriya Pandhre, et al. ∙

research

∙ 06/01/2017

Deep Learning for Hate Speech Detection in Tweets

Hate speech detection on Twitter is critical for applications like contr...

0 Pinkesh Badjatiya, et al. ∙

research

∙ 04/04/2017

Interpretation of Semantic Tweet Representations

Research in analysis of microblogging platforms is experiencing a renewe...

0 J Ganesh, et al. ∙

research

∙ 12/19/2016

Improving Tweet Representations using Temporal and User Context

In this work we propose a novel representation learning model which comp...

0 Ganesh J, et al. ∙

research

∙ 11/15/2016

Interpreting the Syntactic and Social Elements of the Tweet Representations via Elementary Property Prediction Tasks

Research in social media analysis is experiencing a recent surge with a ...

0 J Ganesh, et al. ∙

Manish Gupta

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