Search Results for author: Pawan Goyal

Found 121 papers, 51 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

Modeling interdisciplinary interactions among Physics, Mathematics & Computer Science

no code implementations19 Sep 2023 Rima Hazra, Mayank Singh, Pawan Goyal, Bibhas Adhikari, Animesh Mukherjee

Interdisciplinarity has over the recent years have gained tremendous importance and has become one of the key ways of doing cutting edge research.

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

no code implementations13 Sep 2023 Ali Forootani, Pawan Goyal, Peter Benner

To do this, we make use of neural networks to learn an implicit representation based on measurement data so that not only it produces the output in the vicinity of the measurements but also the time-evolution of output can be described by a dynamical system.

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

no code implementations26 Aug 2023 Pawan Goyal, Süleyman Yıldız, Peter Benner

We demonstrate the capabilities of deep learning in acquiring compact symplectic coordinate transformation and the corresponding simple dynamical models, fostering data-driven learning of nonlinear canonical Hamiltonian systems, even those with continuous spectra.

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

no code implementations26 Aug 2023 Pawan Goyal, Igor Pontes Duff, Peter Benner

In this work, we propose inference formulations to learn quadratic models, which are stable by design.


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

1 code implementation14 Aug 2023 Jivnesh Sandhan, Amruta Barbadikar, Malay Maity, Pavankumar Satuluri, Tushar Sandhan, Ravi M. Gupta, Pawan Goyal, Laxmidhar Behera

We provide a deep analysis of Siksastaka, a Sanskrit poem, from the perspective of 6 prominent kavyashastra schools, to illustrate the proposed framework.

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

no code implementations2 Aug 2023 Süleyman Yıldız, Pawan Goyal, Thomas Bendokat, Peter Benner

By leveraging this, we obtain quadratic dynamics that are Hamiltonian in a transformed coordinate system.

CrysMMNet: Multimodal Representation for Crystal Property Prediction

1 code implementation9 Jun 2023 Kishalay Das, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

In this work, we leverage textual descriptions of materials to model global structural information into graph structure and learn a more robust and enriched representation of crystalline materials.

Property Prediction

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

1 code implementation9 Jun 2023 Abhilash Nandy, Manav Nitin Kapadnis, Sohan Patnaik, Yash Parag Butala, Pawan Goyal, Niloy Ganguly

In this paper, we propose $FPDM$ (Fast Pre-training Technique using Document Level Metadata), a novel, compute-efficient framework that utilizes Document metadata and Domain-Specific Taxonomy as supervision signals to pre-train transformer encoder on a domain-specific corpus.

FinRED: A Dataset for Relation Extraction in Financial Domain

1 code implementation6 Jun 2023 Soumya Sharma, Tapas Nayak, Arusarka Bose, Ajay Kumar Meena, Koustuv Dasgupta, Niloy Ganguly, Pawan Goyal

Relation extraction models trained on a source domain cannot be applied on a different target domain due to the mismatch between relation sets.

Financial Relation Extraction Relation Extraction

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

no code implementations6 Jun 2023 Soumya Sharma, Subhendu Khatuya, Manjunath Hegde, Afreen Shaikh. Koustuv Dasgupta, Pawan Goyal, Niloy Ganguly

The U. S. Securities and Exchange Commission (SEC) mandates all public companies to file periodic financial statements that should contain numerals annotated with a particular label from a taxonomy.


Frugal Prompting for Dialog Models

no code implementations24 May 2023 Bishal Santra, Sakya Basak, Abhinandan De, Manish Gupta, Pawan Goyal

The research contributes to a better understanding of how LLMs can be effectively used for building interactive systems.

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

1 code implementation19 Feb 2023 Jivnesh Sandhan, Anshul Agarwal, Laxmidhar Behera, Tushar Sandhan, Pawan Goyal

We present a neural Sanskrit Natural Language Processing (NLP) toolkit named SanskritShala (a school of Sanskrit) to facilitate computational linguistic analyses for several tasks such as word segmentation, morphological tagging, dependency parsing, and compound type identification.

Dependency Parsing Morphological Tagging +2

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages

1 code implementation19 Feb 2023 Ankan Mullick, Ishani Mondal, Sourjyadip Ray, R Raghav, G Sai Chaitanya, Pawan Goyal

Scarcity of data and technological limitations for resource-poor languages in developing countries like India poses a threat to the development of sophisticated NLU systems for healthcare.

Rank-Minimizing and Structured Model Inference

no code implementations19 Feb 2023 Pawan Goyal, Benjamin Peherstorfer, Peter Benner

While extracting information from data with machine learning plays an increasingly important role, physical laws and other first principles continue to provide critical insights about systems and processes of interest in science and engineering.

Inference of Continuous Linear Systems from Data with Guaranteed Stability

no code implementations24 Jan 2023 Pawan Goyal, Igor Pontes Duff, Peter Benner

Machine-learning technologies for learning dynamical systems from data play an important role in engineering design.

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

1 code implementation14 Jan 2023 Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

To leverage these untapped data, this paper presents CrysGNN, a new pre-trained GNN framework for crystalline materials, which captures both node and graph level structural information of crystal graphs using a huge amount of unlabelled material data.

Formation Energy Property Prediction

Generalized Quadratic-Embeddings for Nonlinear Dynamics using Deep Learning

no code implementations1 Nov 2022 Pawan Goyal, Peter Benner

For complex dynamics behavior, modeling procedures, as well as models, can be intricated, which can make the design process cumbersome.

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

1 code implementation22 Oct 2022 Rajdeep Mukherjee, Abhinav Bohra, Akash Banerjee, Soumya Sharma, Manjunath Hegde, Afreen Shaikh, Shivani Shrivastava, Koustuv Dasgupta, Niloy Ganguly, Saptarshi Ghosh, Pawan Goyal

Despite tremendous progress in automatic summarization, state-of-the-art methods are predominantly trained to excel in summarizing short newswire articles, or documents with strong layout biases such as scientific articles or government reports.

TransLIST: A Transformer-Based Linguistically Informed Sanskrit Tokenizer

1 code implementation21 Oct 2022 Jivnesh Sandhan, Rathin Singha, Narein Rao, Suvendu Samanta, Laxmidhar Behera, Pawan Goyal

Existing lexicon driven approaches for SWS make use of Sanskrit Heritage Reader, a lexicon-driven shallow parser, to generate the complete candidate solution space, over which various methods are applied to produce the most valid solution.

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

no code implementations21 Sep 2022 Souvic Chakraborty, Pawan Goyal, Animesh Mukherjee

With the rising participation of the common mass in social media, it is increasingly common now for policymakers/journalists to create online polls on social media to understand the political leanings of people in specific locations.

Pre-trained Language Models for the Legal Domain: A Case Study on Indian Law

1 code implementation13 Sep 2022 Shounak Paul, Arpan Mandal, Pawan Goyal, Saptarshi Ghosh

With the rapidly increasing volume of Legal NLP applications in various countries, it has become necessary to pre-train such LMs over legal text of other countries as well.

Semantic Segmentation

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

no code implementations21 May 2022 Bishal Santra, Ravi Ghadia, Manish Gupta, Pawan Goyal

Furthermore, CE loss computation for the dialog generation task does not take the input context into consideration and, hence, it grades the response irrespective of the context.

Reinforcement Learning (RL) Text Generation

Neural ODEs with Irregular and Noisy Data

no code implementations19 May 2022 Pawan Goyal, Peter Benner

In our methodology, the main innovation can be seen in the integration of deep neural networks with the neural ordinary differential equations (ODEs) approach.

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 Low-Resource Dependency Parsing

1 code implementation27 Jan 2022 Jivnesh Sandhan, Laxmidhar Behera, Pawan Goyal

While these are well-known to the community, it is not trivial to select the best-performing combination of these strategies for a low-resource language that we are interested in, and not much attention has been given to measuring the efficacy of these strategies.

Data Augmentation Dependency Parsing +2

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.

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

1 code implementation9 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 Event Argument Extraction

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

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

2 code implementations11 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 +2

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.

Event Argument Extraction

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.

Document-level 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.

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

6 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

1 code implementation 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 (ABSA)

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.

Binary Classification General Classification +1

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 +2

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 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.

Vocal Bursts Valence Prediction

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

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

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 +4

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 Retrieval +3

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

3 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

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