
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