Search Results for author: Pawan Goyal

Found 93 papers, 36 papers with code

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit

no code implementations CL (ACL) 2020 Amrith Krishna, Bishal Santra, Ashim Gupta, Pavankumar Satuluri, Pawan Goyal

Ours is a search-based structured prediction framework, which expects a graph as input, where relevant linguistic information is encoded in the nodes, and the edges are then used to indicate the association between these nodes.

Dependency Parsing Structured Prediction

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

no code implementations18 Apr 2022 Debjoy Saha, Bishal Santra, Pawan Goyal

Driven by the recent success of pre-trained language models and prompt-based learning, we explore prompt-based few-shot learning for Dialogue Belief State Tracking.

Few-Shot Learning Language Modelling

A Generative Approach for Financial Causality Extraction

1 code implementation12 Apr 2022 Tapas Nayak, Soumya Sharma, Yash Butala, Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly

Causality represents the foremost relation between events in financial documents such as financial news articles, financial reports.

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

no code implementations27 Jan 2022 Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

On the other hand, purely data-driven approaches do not match the performance of hybrid approaches due to the labelled data sparsity.

Data Augmentation Dependency Parsing +2

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

1 code implementation27 Jan 2022 Jivnesh Sandhan, Ayush Daksh, Om Adideva Paranjay, Laxmidhar Behera, Pawan Goyal

Nowadays, code-mixing has become ubiquitous in Natural Language Processing (NLP); however, no efforts have been made to address this phenomenon for Speech Translation (ST) task.

Machine Translation Translation

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

1 code implementation29 Dec 2021 Shounak Paul, Pawan Goyal, Saptarshi Ghosh

The task of Legal Statute Identification (LSI) aims to identify the legal statutes that are relevant to a given description of Facts or evidence of a legal case.

Representation Learning for Conversational Data using Discourse Mutual Information Maximization

no code implementations4 Dec 2021 Bishal Santra, Sumegh Roychowdhury, Aishik Mandal, Vasu Gurram, Atharva Naik, Manish Gupta, Pawan Goyal

Although many pretrained models exist for text or images, there have been relatively fewer attempts to train representations specifically for dialog understanding.

Language Modelling Representation Learning

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

no code implementations25 Nov 2021 Pawan Goyal, Peter Benner

It is, however, observed that the dynamics of high-fidelity models often evolve in low-dimensional manifolds.

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

1 code implementation EMNLP 2021 Rajdeep Mukherjee, Tapas Nayak, Yash Butala, Sourangshu Bhattacharya, Pawan Goyal

Aspect Sentiment Triplet Extraction (ASTE) deals with extracting opinion triplets, consisting of an opinion target or aspect, its associated sentiment, and the corresponding opinion term/span explaining the rationale behind the sentiment.

Aspect Sentiment Triplet Extraction

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

no code implementations NeurIPS Workshop DLDE 2021 Pawan Goyal, Peter Benner

We demonstrate the effectiveness of the proposed method to learning models using data obtained from various differential equations.

Numerical Integration

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

no code implementations9 Aug 2021 Shruti Singh, Mayank Singh, Pawan Goyal

We present COMPARE, a taxonomy and a dataset of comparison discussions in peer reviews of research papers in the domain of experimental deep learning.

A Greedy Data Collection Scheme For Linear Dynamical Systems

no code implementations27 Jul 2021 Karim Cherifi, Pawan Goyal, Peter Benner

Mathematical models are essential to analyze and understand the dynamics of complex systems.

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

1 code implementation ACL (CASE) 2021 Debanjana Kar, Sudeshna Sarkar, Pawan Goyal

Most of the existing information extraction frameworks (Wadden et al., 2019; Veysehet al., 2020) focus on sentence-level tasks and are hardly able to capture the consolidated information from a given document.

Active Learning

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

no code implementations10 Jun 2021 Vaikkunth Mugunthan, Pawan Goyal, Lalana Kagal

Vertical Federated Learning (VFL) refers to the collaborative training of a model on a dataset where the features of the dataset are split among multiple data owners, while label information is owned by a single data owner.

Federated Learning

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

1 code implementation Findings (ACL) 2021 Devaraja Adiga, Rishabh Kumar, Amrith Krishna, Preethi Jyothi, Ganesh Ramakrishnan, Pawan Goyal

In this work, we propose the first large scale study of automatic speech recognition (ASR) in Sanskrit, with an emphasis on the impact of unit selection in Sanskrit ASR.

Automatic Speech Recognition

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

1 code implementation11 May 2021 Pawan Goyal, Peter Benner

Discovering dynamical models to describe underlying dynamical behavior is essential to draw decisive conclusions and engineering studies, e. g., optimizing a process.

Dictionary Learning Explainable Models +1

Event Argument Extraction using Causal Knowledge Structures

no code implementations ICON 2020 Debanjana Kar, Sudeshna Sarkar, Pawan Goyal

We develop a causal network for our event-annotated dataset by extracting relevant event causal structures from ConceptNet and phrases from Wikipedia.

Evaluating Neural Word Embeddings for Sanskrit

1 code implementation1 Apr 2021 Jivnesh Sandhan, Om Adideva, Digumarthi Komal, Laxmidhar Behera, Pawan Goyal

To effectively use such readily available resources, it is very much essential to perform a systematic study on word embedding approaches for the Sanskrit language.

Word Embeddings

Deep Neural Approaches to Relation Triplets Extraction: A Comprehensive Survey

no code implementations31 Mar 2021 Tapas Nayak, Navonil Majumder, Pawan Goyal, Soujanya Poria

Recently, with the advances made in continuous representation of words (word embeddings) and deep neural architectures, many research works are published in the area of relation extraction and it is very difficult to keep track of so many papers.

Relation Extraction Word Embeddings

LQResNet: A Deep Neural Network Architecture for Learning Dynamic Processes

1 code implementation3 Mar 2021 Pawan Goyal, Peter Benner

In this work, we suggest combining the operator inference with certain deep neural network approaches to infer the unknown nonlinear dynamics of the system.

A Novel Two-stage Framework for Extracting Opinionated Sentences from News Articles

no code implementations WS 2014 Rajkumar Pujari, Swara Desai, Niloy Ganguly, Pawan Goyal

This paper presents a novel two-stage framework to extract opinionated sentences from a given news article.

Reproducibility, Replicability and Beyond: Assessing Production Readiness of Aspect Based Sentiment Analysis in the Wild

1 code implementation23 Jan 2021 Rajdeep Mukherjee, Shreyas Shetty, Subrata Chattopadhyay, Subhadeep Maji, Samik Datta, Pawan Goyal

With the exponential growth of online marketplaces and user-generated content therein, aspect-based sentiment analysis has become more important than ever.

Aspect-Based Sentiment Analysis

Medical Entity Linking using Triplet Network

no code implementations WS 2019 Ishani Mondal, Sukannya Purkayastha, Sudeshna Sarkar, Pawan Goyal, Jitesh Pillai, Amitava Bhattacharyya, Mahanandeeshwar Gattu

Entity linking (or Normalization) is an essential task in text mining that maps the entity mentions in the medical text to standard entities in a given Knowledge Base (KB).

Entity Linking

HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection

5 code implementations18 Dec 2020 Binny Mathew, Punyajoy Saha, Seid Muhie Yimam, Chris Biemann, Pawan Goyal, Animesh Mukherjee

We also observe that models, which utilize the human rationales for training, perform better in reducing unintended bias towards target communities.

Hate Speech Detection Text Classification

Automatic Charge Identification from Facts: A Few Sentence-Level Charge Annotations is All You Need

no code implementations COLING 2020 Shounak Paul, Pawan Goyal, Saptarshi Ghosh

Additionally, we propose a novel model that utilizes sentence-level charge labels as an auxiliary task, coupled with the main task of document-level charge identification in a multi-task learning framework.

Multi-Task Learning

Finding Prerequisite Relations between Concepts using Textbook

no code implementations20 Nov 2020 Shivam Pal, Vipul Arora, Pawan Goyal

In the current work, we present a method of finding prerequisite relations between concepts using related textbooks.

Hierarchical Transformer for Task Oriented Dialog Systems

2 code implementations NAACL 2021 Bishal Santra, Potnuru Anusha, Pawan Goyal

Generative models for dialog systems have gained much interest because of the recent success of RNN and Transformer based models in tasks like question answering and summarization.

Natural Language Understanding Question Answering +1

Operator Inference and Physics-Informed Learning of Low-Dimensional Models for Incompressible Flows

1 code implementation13 Oct 2020 Peter Benner, Pawan Goyal, Jan Heiland, Igor Pontes Duff

To that end, we utilize the intrinsic structure of the Navier-Stokes equations for incompressible flows and show that learning dynamics of the velocity and pressure can be decoupled, thus leading to an efficient operator inference approach for learning the underlying dynamics of incompressible flows.

Data-Driven Learning of Reduced-order Dynamics for a Parametrized Shallow Water Equation

1 code implementation28 Jul 2020 Süleyman Yıldız, Pawan Goyal, Peter Benner, Bülent Karasözen

This paper discusses a non-intrusive data-driven model order reduction method that learns low-dimensional dynamical models for a parametrized shallow water equation.

Numerical Analysis Numerical Analysis

Logic Constrained Pointer Networks for Interpretable Textual Similarity

1 code implementation15 Jul 2020 Subhadeep Maji, Rohan Kumar, Manish Bansal, Kalyani Roy, Pawan Goyal

We study the problem of aligning components of sentences leading to an interpretable model for semantic textual similarity.

Semantic Similarity Semantic Textual Similarity

Aspect-based Sentiment Analysis of Scientific Reviews

1 code implementation5 Jun 2020 Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

We also investigate the extent of disagreement between the reviewers and the chair and find that the inter-reviewer disagreement may have a link to the disagreement with the chair.

Active Learning Aspect-Based Sentiment Analysis

Evaluating Neural Morphological Taggers for Sanskrit

1 code implementation WS 2020 Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig

Neural sequence labelling approaches have achieved state of the art results in morphological tagging.

Morphological Tagging

SHR++: An Interface for Morpho-syntactic Annotation of Sanskrit Corpora

1 code implementation LREC 2020 Amrith Krishna, Shiv Vidhyut, Dilpreet Chawla, Sruti Sambhavi, Pawan Goyal

It incorporates analyses and predictions from various tools designed for processing texts in Sanskrit, and utilise them to ease the cognitive load of the human annotators.

Decision Making

Neural Approaches for Data Driven Dependency Parsing in Sanskrit

no code implementations17 Apr 2020 Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal

We compare the performance of each of the models in a low-resource setting, with 1, 500 sentences for training.

Dependency Parsing

Low-Rank and Total Variation Regularization and Its Application to Image Recovery

no code implementations12 Mar 2020 Pawan Goyal, Hussam Al Daas, Peter Benner

In this work, we propose a new problem formulation in such a way that we seek to recover an image that is of low-rank and has sparsity in a transformed domain.

Using Distributional Thesaurus Embedding for Co-hyponymy Detection

no code implementations LREC 2020 Abhik Jana, Nikhil Reddy Varimalla, Pawan Goyal

Discriminating lexical relations among distributionally similar words has always been a challenge for natural language processing (NLP) community.

General Classification Network Embedding

Operator inference for non-intrusive model reduction of systems with non-polynomial nonlinear terms

1 code implementation22 Feb 2020 Peter Benner, Pawan Goyal, Boris Kramer, Benjamin Peherstorfer, Karen Willcox

The proposed method learns operators for the linear and polynomially nonlinear dynamics via a least-squares problem, where the given non-polynomial terms are incorporated in the right-hand side.

Identification of Port-Hamiltonian Systems from Frequency Response Data

1 code implementation31 Oct 2019 Peter Benner, Pawan Goyal, Paul Van Dooren

In this paper, we study the identification problem of a passive system from tangential interpolation data.

Weakly-Supervised Deep Learning for Domain Invariant Sentiment Classification

no code implementations29 Oct 2019 Pratik Kayal, Mayank Singh, Pawan Goyal

The task of learning a sentiment classification model that adapts well to any target domain, different from the source domain, is a challenging problem.

Classification General Classification +1

HateMonitors: Language Agnostic Abuse Detection in Social Media

1 code implementation27 Sep 2019 Punyajoy Saha, Binny Mathew, Pawan Goyal, Animesh Mukherjee

In this paper, we present our machine learning model, HateMonitor, developed for Hate Speech and Offensive Content Identification in Indo-European Languages (HASOC), a shared task at FIRE 2019.

Abuse Detection Abusive Language

Competing Topic Naming Conventions in Quora: Predicting Appropriate Topic Merges and Winning Topics from Millions of Topic Pairs

no code implementations10 Sep 2019 Binny Mathew, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee

Our system is also able to predict ~ 25% of the correct case of merges within the first month of the merge and ~ 40% of the cases within a year.

Anomaly Detection TAG

Incorporating Domain Knowledge into Medical NLI using Knowledge Graphs

1 code implementation IJCNLP 2019 Soumya Sharma, Bishal Santra, Abhik Jana, T. Y. S. S. Santosh, Niloy Ganguly, Pawan Goyal

Specifically, we experiment with fusing embeddings obtained from knowledge graph with the state-of-the-art approaches for NLI task (ESIM model).

Knowledge Graphs

On the Compositionality Prediction of Noun Phrases using Poincar\'e Embeddings

no code implementations ACL 2019 Abhik Jana, Dima Puzyrev, Alex Panchenko, er, Pawan Goyal, Chris Biemann, Animesh Mukherjee

In particular, we use hypernymy information of the multiword and its constituents encoded in the form of the recently introduced Poincar{\'e} embeddings in addition to the distributional information to detect compositionality for noun phrases.

On the Compositionality Prediction of Noun Phrases using Poincaré Embeddings

no code implementations7 Jun 2019 Abhik Jana, Dmitry Puzyrev, Alexander Panchenko, Pawan Goyal, Chris Biemann, Animesh Mukherjee

In particular, we use hypernymy information of the multiword and its constituents encoded in the form of the recently introduced Poincar\'e embeddings in addition to the distributional information to detect compositionality for noun phrases.

DeepTagRec: A Content-cum-User based Tag Recommendation Framework for Stack Overflow

no code implementations10 Mar 2019 Suman Kalyan Maity, Abhishek Panigrahi, Sayan Ghosh, Arundhati Banerjee, Pawan Goyal, Animesh Mukherjee

In this paper, we develop a content-cum-user based deep learning framework DeepTagRec to recommend appropriate question tags on Stack Overflow.


Detecting Reliable Novel Word Senses: A Network-Centric Approach

no code implementations14 Dec 2018 Abhik Jana, Animesh Mukherjee, Pawan Goyal

The outlined method can therefore be used as a new post-hoc step to improve the precision of novel word sense detection in a robust and reliable way where the underlying framework uses a graph structure.

Analyzing the hate and counter speech accounts on Twitter

no code implementations6 Dec 2018 Binny Mathew, Navish Kumar, Ravina, Pawan Goyal, Animesh Mukherjee

We also build a supervised model for classifying the hateful and counterspeech accounts on Twitter and obtain an F-score of 0. 77.

Social and Information Networks

Spread of hate speech in online social media

no code implementations4 Dec 2018 Binny Mathew, Ritam Dutt, Pawan Goyal, Animesh Mukherjee

The present online social media platform is afflicted with several issues, with hate speech being on the predominant forefront.

Social and Information Networks

Deep Dive into Anonymity: A Large Scale Analysis of Quora Questions

no code implementations17 Nov 2018 Binny Mathew, Ritam Dutt, Suman Kalyan Maity, Pawan Goyal, Animesh Mukherjee

In particular, we observe that the choice to post the question as anonymous is dependent on the user's perception of anonymity and they often choose to speak about depression, anxiety, social ties and personal issues under the guise of anonymity.

WikiRef: Wikilinks as a route to recommending appropriate references for scientific Wikipedia pages

no code implementations COLING 2018 Abhik Jana, Pranjal Kanojiya, Pawan Goyal, Animesh Mukherjee

In this paper, we propose a novel two step approach -- WikiRef -- that (i) leverages the wikilinks present in a scientific Wikipedia target page and, thereby, (ii) recommends highly relevant references to be included in that target page appropriately and automatically borrowed from the reference section of the wikilinks.

Can Network Embedding of Distributional Thesaurus be Combined with Word Vectors for Better Representation?

no code implementations NAACL 2018 Abhik Jana, Pawan Goyal

), we turn a distributional thesaurus network into dense word vectors and investigate the usefulness of distributional thesaurus embedding in improving overall word representation.

Network Embedding Word Similarity

Network Features Based Co-hyponymy Detection

no code implementations LREC 2018 Abhik Jana, Pawan Goyal

Distinguishing lexical relations has been a long term pursuit in natural language processing (NLP) domain.

AppTechMiner: Mining Applications and Techniques from Scientific Articles

no code implementations10 Sep 2017 Mayank Singh, Soham Dan, Sanyam Agarwal, Pawan Goyal, Animesh Mukherjee

We also categorize individual research articles based on their application areas and the techniques proposed/improved in the article.

Information Retrieval

A Dataset for Sanskrit Word Segmentation

no code implementations WS 2017 Amrith Krishna, Pavan Kumar Satuluri, Pawan Goyal

The last decade saw a surge in digitisation efforts for ancient manuscripts in Sanskrit.

Transfer Learning

A Two-Phase Approach Towards Identifying Argument Structure in Natural Language

no code implementations WS 2016 Arkanath Pathak, Pawan Goyal, Plaban Bhowmick

We also propose two baselines and observe that the proposed approach outperforms baseline systems for the final task of Structure Prediction.

Compound Type Identification in Sanskrit: What Roles do the Corpus and Grammar Play?

no code implementations WS 2016 Amrith Krishna, Pavankumar Satuluri, Shubham Sharma, Apurv Kumar, Pawan Goyal

We construct an elaborate features space for our system by combining conditional rules from the grammar \textit{Adṣṭ{\=a}dhy{\=a}y{\=\i}}, semantic relations between the compound components from a lexical database \textit{Amarakoṣa} and linguistic structures from the data using Adaptor Grammars.

Classification General Classification +2

A graphical framework to detect and categorize diverse opinions from online news

no code implementations WS 2016 Ankan Mullick, Pawan Goyal, Niloy Ganguly

This paper proposes a graphical framework to extract opinionated sentences which highlight different contexts within a given news article by introducing the concept of diversity in a graphical model for opinion detection. We conduct extensive evaluations and find that the proposed modification leads to impressive improvement in performance and makes the final results of the model much more usable.

General Classification Opinion Mining

Query Translation for Cross-Language Information Retrieval using Multilingual Word Clusters

no code implementations WS 2016 Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar

In Cross-Language Information Retrieval, finding the appropriate translation of the source language query has always been a difficult problem to solve.

Community Detection Information Retrieval +3

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

no code implementations23 Aug 2016 Soham Dan, Sanyam Agarwal, Mayank Singh, Pawan Goyal, Animesh Mukherjee

Every field of research consists of multiple application areas with various techniques routinely used to solve problems in these wide range of application areas.

Language Modelling

UsingWord Embeddings for Query Translation for Hindi to English Cross Language Information Retrieval

no code implementations4 Aug 2016 Paheli Bhattacharya, Pawan Goyal, Sudeshna Sarkar

In this paper, we propose an approach based on word embeddings, a method that captures contextual clues for a particular word in the source language and gives those words as translations that occur in a similar context in the target language.

Information Retrieval Translation +2

A Novel Framework to Expedite Systematic Reviews by Automatically Building Information Extraction Training Corpora

2 code implementations21 Jun 2016 Tanmay Basu, Shraman Kumar, Abhishek Kalyan, Priyanka Jayaswal, Pawan Goyal, Stephen Pettifer, Siddhartha R. Jonnalagadda

Initially, it uses information contained in existing systematic reviews to identify the sentences from the PDF files of the included references that contain specific data elements of interest using a modified Jaccard similarity measure.

Towards automating the generation of derivative nouns in Sanskrit by simulating Panini

no code implementations17 Dec 2015 Amrith Krishna, Pawan Goyal

We also present cases where we have checked the applicability of the system with the rules which are not specifically applicable to derivation of derivative nouns, in order to see the effectiveness of the proposed schema as a generic system for modeling Astadhyayi.

That's sick dude!: Automatic identification of word sense change across different timescales

no code implementations ACL 2014 Sunny Mitra, Ritwik Mitra, Martin Riedl, Chris Biemann, Animesh Mukherjee, Pawan Goyal

In this paper, we propose an unsupervised method to identify noun sense changes based on rigorous analysis of time-varying text data available in the form of millions of digitized books.

Word Sense Disambiguation

Cannot find the paper you are looking for? You can Submit a new open access paper.