Publications
This section contains publications published by ISI over the past several decades.
2023
PubGraph: A Large Scale Scientific Temporal Knowledge Graph
Kian Ahrabian, Xinwei Du, Richard Delwin Myloth, Arun Baalaaji Sankar Ananthan, Jay Pujara
arXiv preprint arXiv:2302.02231, 2023
Citation Intent Classification Through Weakly Supervised Knowledge Graphs.
Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
SDU@ AAAI, 2023
Learn Your Tokens: Word-Pooled Tokenization for Language Modeling
Avijit Thawani, Saurabh Ghanekar, Xiaoyuan Zhu, Jay Pujara
Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
Making Large Language Models Better Data Creators
Dong-Ho Lee, Jay Pujara, Mohit Sewak, Ryen W White, Sujay Kumar Jauhar
Empirical Methods in Natural Language Processing, 2023
Estimating Numbers without Regression
Avijit Thawani, Jay Pujara, Ashwin Kalyan
Proceedings of the Fourth Workshop on Insights from Negative Results in NLP, 2023
Is Dynamicity All You Need?
Richard Delwin Myloth, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Xinwei Du, Jay Pujara
Links 167, 323,927,950, 2023
Graph-Based Structure Aware Citation Intent Classification
Xinwei Du, Kian Ahrabian, Arun Baalaaji Sankar Ananthan, Richard Delwin Myloth, Jay Pujara
Low-Resource Financial QA with Case-based Reasoning
Kexuan Sun, Jay Pujara
1st Workshop on Robust NLP for Finance (RobustFin) @ KDD, 2023
Building Robust and Explainable AI with Commonsense Knowledge Graphs and Neural Models
Filip Ilievski, Kaixin Ma, Alessandro Oltramari, Peifeng Wang, Jay Pujara
Compendium of Neurosymbolic Artificial Intelligence, 178-209, 2023
Temporal Knowledge Graph Forecasting Without Knowledge Using In-Context Learning
Dong-Ho Lee, Kian Ahrabian, Woojeong Jin, Fred Morstatter, Jay Pujara
Empirical Methods in Natural Language Processing, 2023
An AI Dungeon Master's Guide: Learning to Converse and Guide with Intents and Theory-of-Mind in Dungeons and Dragons
Pei Zhou, Andrew Zhu, Jennifer Hu, Jay Pujara, Xiang Ren, Chris Callison-Burch, Yejin Choi, Prithviraj Ammanabrolu
Proceedings of the 61st Annual Meeting of the Association for Computational …, 2023
XMD: An End-to-End Framework for Interactive Explanation-Based Debugging of NLP Models
Dong-Ho Lee, Akshen Kadakia, Brihi Joshi, Aaron Chan, Ziyi Liu, Kiran Narahari, Takashi Shibuya, Ryosuke Mitani, Toshiyuki Sekiya, Jay Pujara, Xiang Ren
Association for Computational Linguistics 3, 2023
Managing Risk
Michael Orosz
Systems Engineering for the Digital Age: Practitioner Perspectives, 463-470, 2023
Scaling Agile Principles to an Enterprise
Michael Orosz, Brian Duffy, Craig Charlton, Hector Saunders, Michael Shih
Systems Engineering for the Digital Age: Practitioner Perspectives, 201-218, 2023
Unique challenges in mission engineering and technology integration
Michael Orosz, Brian Duffy, Craig Charlton, Hector Saunders, Ellins Thomas
Systems Engineering for the Digital Age: Practitioner Perspectives, 665-681, 2023
Agile systems engineering–Eight core aspects
Rick Dove, Kerry Lunney, Michael Orosz, Mike Yokell
INCOSE International Symposium 33 (1), 823-837, 2023
Systems Engineering Agility in a Nutshell
Rick Dove, Kerry Lunney, Michael Orosz, Mike Yokell
INSIGHT 26 (2), 11-14, 2023
A reevaluation of event extraction: Past, present, and future challenges
Kuan-Hao Huang, I Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
arXiv preprint arXiv:2311.09562, 2023
Class-agnostic object detection
A Jaiswal, Y Wu, P Natarajan, P Natarajan
US Patent 11,775,617, 2023
Predictive deletion of user input
R Prasad, SNP Vitaladevuni, P Natarajan
US Patent 11,769,496, 2023