b'Mayank Singh'

research

∙ 09/19/2023

Modeling interdisciplinary interactions among Physics, Mathematics Computer Science

Interdisciplinarity has over the recent years have gained tremendous imp...

0 Rima Hazra, et al. ∙

research

∙ 07/31/2023

Metric@CustomerN: Evaluating Metrics at a Customer Level in E-Commerce

Accuracy measures such as Recall, Precision, and Hit Rate have been a st...

0 Mayank Singh, et al. ∙

research

∙ 04/27/2023

Analogy-Forming Transformers for Few-Shot 3D Parsing

We present Analogical Networks, a model that encodes domain knowledge ex...

0 Nikolaos Gkanatsios, et al. ∙

research

∙ 04/02/2023

MMT: A Multilingual and Multi-Topic Indian Social Media Dataset

Social media plays a significant role in cross-cultural communication. A...

4 Dwip Dalal, et al. ∙

research

∙ 02/23/2023

MUTANT: A Multi-sentential Code-mixed Hinglish Dataset

The multi-sentential long sequence textual data unfolds several interest...

6 Rahul Gupta, et al. ∙

research

∙ 10/31/2022

Tables to LaTeX: structure and content extraction from scientific tables

Scientific documents contain tables that list important information in a...

0 Pratik Kayal, et al. ∙

research

∙ 03/29/2022

The Inefficiency of Language Models in Scholarly Retrieval: An Experimental Walk-through

Language models are increasingly becoming popular in AI-powered scientif...

5 Shruti Singh, et al. ∙

research

∙ 08/09/2021

COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews

Comparing research papers is a conventional method to demonstrate progre...

8 Shruti Singh, et al. ∙

research

∙ 08/04/2021

Quality Evaluation of the Low-Resource Synthetically Generated Code-Mixed Hinglish Text

In this shared task, we seek the participating teams to investigate the ...

3 Vivek Srivastava, et al. ∙

research

∙ 07/24/2021

MIPE: A Metric Independent Pipeline for Effective Code-Mixed NLG Evaluation

Code-mixing is a phenomenon of mixing words and phrases from two or more...

5 Ayush Garg, et al. ∙

research

∙ 07/08/2021

HinGE: A Dataset for Generation and Evaluation of Code-Mixed Hinglish Text

Text generation is a highly active area of research in the computational...

7 Vivek Srivastava, et al. ∙

research

∙ 06/22/2021

On Adversarial Robustness of Synthetic Code Generation

Automatic code synthesis from natural language descriptions is a challen...

0 Mrinal Anand, et al. ∙

research

∙ 06/19/2021

TweeNLP: A Twitter Exploration Portal for Natural Language Processing

We present TweeNLP, a one-stop portal that organizes Twitter's natural l...

40 Viraj Shah, et al. ∙

research

∙ 06/18/2021

Challenges and Limitations with the Metrics Measuring the Complexity of Code-Mixed Text

Code-mixing is a frequent communication style among multilingual speaker...

5 Vivek Srivastava, et al. ∙

research

∙ 06/15/2021

Challenges and Considerations with Code-Mixed NLP for Multilingual Societies

Multilingualism refers to the high degree of proficiency in two or more ...

6 Vivek Srivastava, et al. ∙

research

∙ 05/30/2021

ICDAR 2021 Competition on Scientific Table Image Recognition to LaTeX

Tables present important information concisely in many scientific docume...

0 Pratik Kayal, et al. ∙

research

∙ 05/12/2021

TabLeX: A Benchmark Dataset for Structure and Content Information Extraction from Scientific Tables

Information Extraction (IE) from the tables present in scientific articl...

0 Harsh Desai, et al. ∙

research

∙ 12/08/2020

Data Instance Prior for Transfer Learning in GANs

Recent advances in generative adversarial networks (GANs) have shown rem...

6 Puneet Mangla, et al. ∙

research

∙ 11/30/2020

CovidExplorer: A Multi-faceted AI-based Search and Visualization Engine for COVID-19 Information

The entire world is engulfed in the fight against the COVID-19 pandemic,...

0 Heer Ambavi, et al. ∙

research

∙ 10/26/2020

PoliWAM: An Exploration of a Large Scale Corpus of Political Discussions on WhatsApp Messenger

WhatsApp Messenger is one of the most popular channels for spreading inf...

0 Vivek Srivastava, et al. ∙

research

∙ 10/19/2020

LT-GAN: Self-Supervised GAN with Latent Transformation Detection

Generative Adversarial Networks (GANs) coupled with self-supervised task...

18 Parth Patel, et al. ∙

research

∙ 09/23/2020

Augmented Convolutional LSTMs for Generation of High-Resolution Climate Change Projections

Projection of changes in extreme indices of climate variables such as te...

44 Nidhin Harilal, et al. ∙

research

∙ 07/25/2020

Bollyrics: Automatic Lyrics Generator for Romanised Hindi

Song lyrics convey a meaningful story in a creative manner with complex ...

1 Naman Jain, et al. ∙

research

∙ 07/20/2020

Identification, Tracking and Impact: Understanding the trade secret of catchphrases

Understanding the topical evolution in industrial innovation is a challe...

0 Jagriti Jalal, et al. ∙

research

∙ 06/25/2020

IIT Gandhinagar at SemEval-2020 Task 9: Code-Mixed Sentiment Classification Using Candidate Sentence Generation and Selection

Code-mixing is the phenomenon of using multiple languages in the same ut...

0 Vivek Srivastava, et al. ∙

research

∙ 06/05/2020

Gandhipedia: A one-stop AI-enabled portal for browsing Gandhian literature, life-events and his social network

We introduce an AI-enabled portal that presents an excellent visualizati...

0 Sayantan Adak, et al. ∙

research

∙ 06/05/2020

SEAL: Scientific Keyphrase Extraction and Classification

Automatic scientific keyphrase extraction is a challenging problem facil...

0 Ayush Garg, et al. ∙

research

∙ 05/04/2020

On the Benefits of Models with Perceptually-Aligned Gradients

Adversarial robust models have been shown to learn more robust and inter...

5 Gunjan Aggarwal, et al. ∙

research

∙ 04/21/2020

Innovation and Revenue: Deep Diving into the Temporal Rank-shifts of Fortune 500 Companies

Research and innovation is important agenda for any company to remain co...

0 Mayank Singh, et al. ∙

research

∙ 04/20/2020

PHINC: A Parallel Hinglish Social Media Code-Mixed Corpus for Machine Translation

Code-mixing is the phenomenon of using more than one language in a sente...

0 Vivek Srivastava, et al. ∙

research

∙ 12/26/2019

Analysis of Reference and Citation Copying in Evolving Bibliographic Networks

Extensive literature demonstrates how the copying of references (links) ...

0 Pradumn Kumar Pandey, et al. ∙

research

∙ 12/01/2019

A Method for Computing Class-wise Universal Adversarial Perturbations

We present an algorithm for computing class-specific universal adversari...

0 Tejus Gupta, et al. ∙

research

∙ 11/29/2019

On the Benefits of Attributional Robustness

Interpretability is an emerging area of research in trustworthy machine ...

11 Mayank Singh, et al. ∙

research

∙ 10/29/2019

Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification

The task of learning a sentiment classification model that adapts well t...

0 Pratik Kayal, et al. ∙

research

∙ 10/16/2019

NLPExplorer: Exploring the Universe of NLP Papers

Understanding the current research trends, problems, and their innovativ...

0 Monarch Parmar, et al. ∙

research

∙ 08/10/2019

The rise and rise of interdisciplinary research: Understanding the interaction dynamics of three major fields – Physics, Mathematics Computer Science

The distinction between sciences is becoming increasingly more artificia...

0 Rima Hazra, et al. ∙

research

∙ 07/28/2019

Charting the Right Manifold: Manifold Mixup for Few-shot Learning

Few-shot learning algorithms aim to learn model parameters capable of ad...

0 Puneet Mangla, et al. ∙

research

∙ 06/27/2019

BioGen: Automated Biography Generation

A biography of a person is the detailed description of several life even...

0 Heer Ambavi, et al. ∙

research

∙ 06/17/2019

The Evolving Ecosystem of Predatory Journals: A Case Study in Indian Perspective

Digital advancement in scholarly repositories has led to the emergence o...

0 Naman Jain, et al. ∙

research

∙ 05/13/2019

Harnessing the Vulnerability of Latent Layers in Adversarially Trained Models

Neural networks are vulnerable to adversarial attacks -- small visually ...

0 Abhishek Sinha, et al. ∙

research

∙ 04/16/2018

CL Scholar: The ACL Anthology Knowledge Graph Miner

We present CL Scholar, the ACL Anthology knowledge graph miner to facili...

0 Mayank Singh, et al. ∙

research

∙ 02/13/2018

Ranking State-of-the-art Papers via Incomplete Tournaments Induced by Citations from Performance Tables

How can we find state-of-the-art papers for a given task? Is it possible...

0 Mayank Singh, et al. ∙

research

∙ 01/03/2018

Neural Networks in Adversarial Setting and Ill-Conditioned Weight Space

Recently, Neural networks have seen a huge surge in its adoption due to ...

0 Mayank Singh, et al. ∙

research

∙ 09/10/2017

AppTechMiner: Mining Applications and Techniques from Scientific Articles

This paper presents AppTechMiner, a rule-based information extraction fr...

0 Mayank Singh, et al. ∙

research

∙ 05/09/2017

Understanding the Impact of Early Citers on Long-Term Scientific Impact

This paper explores an interesting new dimension to the challenging prob...

0 Mayank Singh, et al. ∙

research

∙ 05/06/2017

Citation sentence reuse behavior of scientists: A case study on massive bibliographic text dataset of computer science

Our current knowledge of scholarly plagiarism is largely based on the si...

0 Mayank Singh, et al. ∙

research

∙ 08/23/2016

Which techniques does your application use?: An information extraction framework for scientific articles

Every field of research consists of multiple application areas with vari...

0 Soham Dan, et al. ∙

Mayank Singh

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