b'Pawan Goyal'

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

∙ 09/13/2023

A Robust SINDy Approach by Combining Neural Networks and an Integral Form

The discovery of governing equations from data has been an active field ...

0 Ali Forootani, et al. ∙

research

∙ 08/26/2023

Deep Learning for Structure-Preserving Universal Stable Koopman-Inspired Embeddings for Nonlinear Canonical Hamiltonian Dynamics

Discovering a suitable coordinate transformation for nonlinear systems e...

0 Pawan Goyal, et al. ∙

research

∙ 08/26/2023

Guaranteed Stable Quadratic Models and their applications in SINDy and Operator Inference

Scientific machine learning for learning dynamical systems is a powerful...

0 Pawan Goyal, et al. ∙

research

∙ 08/14/2023

Aesthetics of Sanskrit Poetry from the Perspective of Computational Linguistics: A Case Study Analysis on Siksastaka

Sanskrit poetry has played a significant role in shaping the literary an...

0 Jivnesh Sandhan, et al. ∙

research

∙ 08/07/2023

Parameterized Interpolation of Passive Systems

We study the tangential interpolation problem for a passive transfer fun...

0 Peter Benner, et al. ∙

research

∙ 08/04/2023

Linearly Implicit Global Energy Preserving Reduced-order Models for Cubic Hamiltonian Systems

This work discusses the model reduction problem for large-scale multi-sy...

0 Süleyman Yıldız, et al. ∙

research

∙ 08/02/2023

Data-Driven Identification of Quadratic Symplectic Representations of Nonlinear Hamiltonian Systems

We present a framework for learning Hamiltonian systems using data. This...

0 Süleyman Yıldız, et al. ∙

research

∙ 06/09/2023

FPDM: Domain-Specific Fast Pre-training Technique using Document-Level Metadata

Pre-training Transformers has shown promising results on open-domain and...

0 Abhilash Nandy, et al. ∙

research

∙ 06/06/2023

FinRED: A Dataset for Relation Extraction in Financial Domain

Relation extraction models trained on a source domain cannot be applied ...

0 Soumya Sharma, et al. ∙

research

∙ 06/06/2023

Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Tagging

The U.S. Securities and Exchange Commission (SEC) mandates all public co...

0 Soumya Sharma, 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

∙ 02/19/2023

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages

Scarcity of data and technological limitations for resource-poor languag...

0 Ankan Mullick, et al. ∙

research

∙ 02/19/2023

SanskritShala: A Neural Sanskrit NLP Toolkit with Web-Based Interface for Pedagogical and Annotation Purposes

We present a neural Sanskrit Natural Language Processing (NLP) toolkit n...

0 Jivnesh Sandhan, et al. ∙

research

∙ 02/19/2023

Rank-Minimizing and Structured Model Inference

While extracting information from data with machine learning plays an in...

0 Pawan Goyal, et al. ∙

research

∙ 01/24/2023

Inference of Continuous Linear Systems from Data with Guaranteed Stability

Machine-learning technologies for learning dynamical systems from data p...

0 Pawan Goyal, et al. ∙

research

∙ 01/23/2023

Dominant Subspaces of High-Fidelity Nonlinear Structured Parametric Dynamical Systems and Model Reduction

In this work, we investigate a model order reduction scheme for high-fid...

0 Pawan Goyal, et al. ∙

research

∙ 01/14/2023

CrysGNN : Distilling pre-trained knowledge to enhance property prediction for crystalline materials

In recent years, graph neural network (GNN) based approaches have emerge...

0 Kishalay Das, et al. ∙

research

∙ 11/01/2022

Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning

The engineering design process (e.g., control and forecasting) relies on...

0 Pawan Goyal, et al. ∙

research

∙ 10/22/2022

ECTSum: A New Benchmark Dataset For Bullet Point Summarization of Long Earnings Call Transcripts

Despite tremendous progress in automatic summarization, state-of-the-art...

2 Rajdeep Mukherjee, et al. ∙

research

∙ 10/21/2022

TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer

Sanskrit Word Segmentation (SWS) is essential in making digitized texts ...

0 Jivnesh Sandhan, et al. ∙

research

∙ 10/14/2022

Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation

Summarization of legal case judgement documents is a challenging problem...

0 Abhay Shukla, et al. ∙

research

∙ 09/21/2022

Fast Few shot Self-attentive Semi-supervised Political Inclination Prediction

With the rising participation of the common mass in social media, it is ...

4 Souvic Chakraborty, et al. ∙

research

∙ 09/13/2022

Pre-training Transformers on Indian Legal Text

Natural Language Processing in the legal domain been benefited hugely by...

0 Shounak Paul, et al. ∙

research

∙ 08/22/2022

A Novel Multi-Task Learning Approach for Context-Sensitive Compound Type Identification in Sanskrit

The phenomenon of compounding is ubiquitous in Sanskrit. It serves for a...

0 Jivnesh Sandhan, et al. ∙

research

∙ 08/15/2022

Exploring Generative Models for Joint Attribute Value Extraction from Product Titles

Attribute values of the products are an essential component in any e-com...

0 Kalyani Roy, 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

∙ 05/19/2022

Neural ODEs with Irregular and Noisy Data

Measurement noise is an integral part while collecting data of a physica...

1 Pawan Goyal, et al. ∙

research

∙ 05/04/2022

A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection

Systems like Voice-command based conversational agents are characterized...

0 Ankan Mullick, et al. ∙

research

∙ 04/18/2022

A Study on Prompt-based Few-Shot Learning Methods for Belief State Tracking in Task-oriented Dialog Systems

We tackle the Dialogue Belief State Tracking(DST) problem of task-orient...

10 Debjoy Saha, et al. ∙

research

∙ 04/12/2022

A Generative Approach for Financial Causality Extraction

Causality represents the foremost relation between events in financial d...

3 Tapas Nayak, et al. ∙

research

∙ 01/27/2022

Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages

Nowadays, code-mixing has become ubiquitous in Natural Language Processi...

0 Jivnesh Sandhan, et al. ∙

research

∙ 01/27/2022

Systematic Investigation of Strategies Tailored for Low-Resource Settings for Sanskrit Dependency Parsing

Existing state of the art approaches for Sanskrit Dependency Parsing (SD...

0 Jivnesh Sandhan, et al. ∙

research

∙ 12/29/2021

LeSICiN: A Heterogeneous Graph-based Approach for Automatic Legal Statute Identification from Indian Legal Documents

The task of Legal Statute Identification (LSI) aims to identify the lega...

0 Shounak Paul, et al. ∙

research

∙ 12/10/2021

MTLTS: A Multi-Task Framework To Obtain Trustworthy Summaries From Crisis-Related Microblogs

Occurrences of catastrophes such as natural or man-made disasters trigge...

0 Rajdeep Mukherjee, 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

∙ 11/25/2021

Learning Low-Dimensional Quadratic-Embeddings of High-Fidelity Nonlinear Dynamics using Deep Learning

Learning dynamical models from data plays a vital role in engineering de...

0 Pawan Goyal, et al. ∙

research

∙ 10/27/2021

(Im)balance in the Representation of News? An Extensive Study on a Decade Long Dataset from India

(Im)balance in the representation of news has always been a topic of deb...

0 Souvic Chakraborty, et al. ∙

research

∙ 10/10/2021

PASTE: A Tagging-Free Decoding Framework Using Pointer Networks for Aspect Sentiment Triplet Extraction

Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion...

0 Rajdeep Mukherjee, et al. ∙

research

∙ 09/23/2021

Learning Dynamics from Noisy Measurements using Deep Learning with a Runge-Kutta Constraint

Measurement noise is an integral part while collecting data of a physica...

79 Pawan Goyal, et al. ∙

research

∙ 09/13/2021

Question Answering over Electronic Devices: A New Benchmark Dataset and a Multi-Task Learning based QA Framework

Answering questions asked from instructional corpora such as E-manuals, ...

10 Abhilash Nandy, 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

∙ 08/01/2021

You too Brutus! Trapping Hateful Users in Social Media: Challenges, Solutions Insights

Hate speech is regarded as one of the crucial issues plaguing the online...

0 Mithun Das, et al. ∙

research

∙ 06/21/2021

ArgFuse: A Weakly-Supervised Framework for Document-Level Event Argument Aggregation

Most of the existing information extraction frameworks (Wadden et al., 2...

0 Debanjana Kar, et al. ∙

research

∙ 06/10/2021

Multi-VFL: A Vertical Federated Learning System for Multiple Data and Label Owners

Vertical Federated Learning (VFL) refers to the collaborative training o...

0 Vaikkunth Mugunthan, et al. ∙

research

∙ 06/02/2021

Automatic Speech Recognition in Sanskrit: A New Speech Corpus and Modelling Insights

Automatic speech recognition (ASR) in Sanskrit is interesting, owing to ...

0 Devaraja Adiga, et al. ∙

research

∙ 05/11/2021

Discovery of Nonlinear Dynamical Systems using a Runge-Kutta Inspired Dictionary-based Sparse Regression Approach

Discovering dynamical models to describe underlying dynamical behavior i...

0 Pawan Goyal, et al. ∙

research

∙ 05/02/2021

Event Argument Extraction using Causal Knowledge Structures

Event Argument extraction refers to the task of extracting structured in...

0 Debanjana Kar, et al. ∙

research

∙ 04/01/2021

Evaluating Neural Word Embeddings for Sanskrit

Recently, the supervised learning paradigm's surprisingly remarkable per...

0 Jivnesh Sandhan, et al. ∙

research

∙ 03/31/2021

Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey

Recently, with the advances made in continuous representation of words (...

0 Tapas Nayak, et al. ∙

Pawan Goyal

Featured Co-authors