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09/19/2023
Modeling interdisciplinary interactions among Physics, Mathematics Computer Science
Interdisciplinarity has over the recent years have gained tremendous imp...
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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 ...
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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...
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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...
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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...
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08/07/2023
Parameterized Interpolation of Passive Systems
We study the tangential interpolation problem for a passive transfer fun...
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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...
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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...
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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...
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06/06/2023
FinRED: A Dataset for Relation Extraction in Financial Domain
Relation extraction models trained on a source domain cannot be applied ...
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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...
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05/24/2023
Frugal Prompting for Dialog Models
The use of large language models (LLMs) in natural language processing (...
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02/19/2023
Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages
Scarcity of data and technological limitations for resource-poor languag...
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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...
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02/19/2023
Rank-Minimizing and Structured Model Inference
While extracting information from data with machine learning plays an in...
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01/24/2023
Inference of Continuous Linear Systems from Data with Guaranteed Stability
Machine-learning technologies for learning dynamical systems from data p...
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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...
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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...
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11/01/2022
Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning
The engineering design process (e.g., control and forecasting) relies on...
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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...
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10/21/2022
TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer
Sanskrit Word Segmentation (SWS) is essential in making digitized texts ...
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10/14/2022
Legal Case Document Summarization: Extractive and Abstractive Methods and their Evaluation
Summarization of legal case judgement documents is a challenging problem...
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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 ...
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09/13/2022
Pre-training Transformers on Indian Legal Text
Natural Language Processing in the legal domain been benefited hugely by...
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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...
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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...
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05/21/2022
CORAL: Contextual Response Retrievability Loss Function for Training Dialog Generation Models
Natural Language Generation (NLG) represents a large collection of tasks...
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05/19/2022
Neural ODEs with Irregular and Noisy Data
Measurement noise is an integral part while collecting data of a physica...
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05/04/2022
A Framework to Generate High-Quality Datapoints for Multiple Novel Intent Detection
Systems like Voice-command based conversational agents are characterized...
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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...
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04/12/2022
A Generative Approach for Financial Causality Extraction
Causality represents the foremost relation between events in financial d...
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01/27/2022
Prabhupadavani: A Code-mixed Speech Translation Data for 25 Languages
Nowadays, code-mixing has become ubiquitous in Natural Language Processi...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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...
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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, ...
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08/09/2021
COMPARE: A Taxonomy and Dataset of Comparison Discussions in Peer Reviews
Comparing research papers is a conventional method to demonstrate progre...
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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...
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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...
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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...
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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 ...
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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...
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05/02/2021
Event Argument Extraction using Causal Knowledge Structures
Event Argument extraction refers to the task of extracting structured in...
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04/01/2021
Evaluating Neural Word Embeddings for Sanskrit
Recently, the supervised learning paradigm's surprisingly remarkable per...
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03/31/2021