profile picture

Pawan Goyal

pre-training

contrastive learning

entity extraction

classification

indian healthcare queries

llm

intent detection

large language models

retrieval

evaluation

crowdsourcing

generative

speech recognition

pretraining

benchmark

18

presentations

9

number of views

SHORT BIO

Pawan Goyal received the B.Tech. degree in electrical engineering from IIT Kanpur, West Bengal, India, in 2007, and the Ph.D. degree in computing and engineering from University of Ulster, Belfast, U.K., in 2011. He was then a Post-Doctoral Fellow at INRIA Paris Rocquencourt. He is an Assistant Professor with the Department of Computer Science and Engineering, IIT Kharagpur, West Bengal, India. He has published around 75 research papers in international conferences and journals including ACL, NAACL, EMNLP, KDD, SIGIR, CIKM, JCDL, CSCW, WWW, IEEE, and ACM Transactions. His research interests include natural language processing, text mining, information retrieval and Sanskrit computational linguistics.

Presentations

A Pointer Network based Approach for Joint Extraction and Detection of Multi-Label Multi-Class Intents

Ankan Mullick and 4 other authors

CSSL: Contrastive Self-Supervised Learning for Dependency Parsing on Relatively Free Word Ordered and Morphologically Rich Low Resource Languages

Pretam Ray and 3 other authors

ERVQA: A Dataset to Benchmark the Readiness of Large Vision Language Models in Hospital Environments

Sourjyadip Ray and 5 other authors

YesBut: A High-Quality Annotated Multimodal Dataset for evaluating Satire Comprehension capability of Vision-Language Models

Abhilash Nandy and 7 other authors

IL-TUR: Benchmark for Indian Legal Text Understanding and Reasoning

Abhinav Joshi and 5 other authors

SERPENT-VLM : Self-Refining Radiology Report Generation Using Vision Language Models

Manav Kapadnis and 5 other authors

Parameter-Efficient Instruction Tuning of Large Language Models For Extreme Financial Numeral Labelling

Subhendu Khatuya and 7 other authors

Order-Based Pre-training Strategies for Procedural Text Understanding

Abhilash Nandy and 3 other authors

CLMSM: A Multi-Task Learning Framework for Pre-training on Procedural Text

Abhilash Nandy and 3 other authors

CONTRASTE: Supervised Contrastive Pre-training With Aspect-based Prompts For Aspect Sentiment Triplet Extraction

Rajdeep Mukherjee and 3 other authors

Frugal Prompting for Dialog Models

Bishal Santra and 4 other authors

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages

Ankan Mullick and 5 other authors

Intent Identification and Entity Extraction for Healthcare Queries in Indic Languages

Ankan Mullick and 5 other authors

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

KISHALAY DAS and 5 other authors

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

Rajdeep Mukherjee and 4 other authors

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

Devaraja Adiga and 5 other authors

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