Amit P. Sheth

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 261

Top Venues

CoRR

IEEE Internet Comput.

IEEE Intell. Syst.

DE-FACTIFY@AAAI

Publications

Vishal Pallagani, Kaushik Roy, Bharath Muppasani, Francesco Fabiano, Andrea Loreggia, Keerthiram Murugesan, Biplav Srivastava, Francesca Rossi, Lior Horesh, Amit P. Sheth
On the Prospects of Incorporating Large Language Models (LLMs) in Automated Planning and Scheduling (APS). CoRR (2024)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models✱. COMAD/CODS (2024)
Hong Yung Yip, Amit P. Sheth
The EMPWR Platform: Data and Knowledge-Driven Processes for the Knowledge Graph Lifecycle. IEEE Internet Comput. 28 (1) (2024)
Anku Rani, Dwip Dalal, Shreya Gautam, Pankaj Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das
SEPSIS: I Can Catch Your Lies - A New Paradigm for Deception Detection. CoRR (2023)
Valeria Fionda, Olaf Hartig, Reyhaneh Abdolazimi, Sihem Amer-Yahia, Hongzhi Chen, Xiao Chen, Peng Cui, Jeffrey Dalton, Xin Luna Dong, Lisette Espín-Noboa, Wenqi Fan, Manuela Fritz, Quan Gan, Jingtong Gao, Xiaojie Guo, Torsten Hahmann, Jiawei Han, Soyeon Caren Han, Estevam Hruschka, Liang Hu, Jiaxin Huang, Utkarshani Jaimini, Olivier Jeunen, Yushan Jiang, Fariba Karimi, George Karypis, Krishnaram Kenthapadi, Himabindu Lakkaraju, Hady W. Lauw, Thai Le, Trung-Hoang Le, Dongwon Lee, Geon Lee, Liat Levontin, Cheng-Te Li, Haoyang Li, Ying Li, Jay Chiehen Liao, Qidong Liu, Usha Lokala, Ben London, Siqu Long, Hande Küçük-McGinty, Yu Meng, Seungwhan Moon, Usman Naseem, Pradeep Natarajan, Behrooz Omidvar-Tehrani, Zijie Pan, Devesh Parekh, Jian Pei, Tiago Peixoto, Steven Pemberton, Josiah Poon, Filip Radlinski, Federico Rossetto, Kaushik Roy, Aghiles Salah, Mehrnoosh Sameki, Amit P. Sheth, Cogan Shimizu, Kijung Shin, Dongjin Song, Julia Stoyanovich, Dacheng Tao, Johanne Trippas, Quoc Truong, Yu-Che Tsai, Adaku Uchendu, Bram van den Akker, Lin Wang, Minjie Wang, Shoujin Wang, Xin Wang, Ingmar Weber, Henry Weld, Lingfei Wu, Da Xu, Yifan Ethan Xu, Shuyuan Xu, Bo Yang, Ke Yang, Elad Yom-Tov, Jaemin Yoo, Zhou Yu, Reza Zafarani, Hamed Zamani, Meike Zehlike, Qi Zhang, Xikun Zhang, Yongfeng Zhang, Yu Zhang, Zheng Zhang, Liang Zhao, Xiangyu Zhao, Wenwu Zhu
Tutorials at The Web Conference 2023. WWW (Companion Volume) (2023)
Varuna Krishna, S. Suryavardan, Shreyash Mishra, Sathyanarayanan Ramamoorthy, Parth Patwa, Megha Chakraborty, Aman Chadha, Amitava Das, Amit P. Sheth
IMAGINATOR: Pre-Trained Image+Text Joint Embeddings using Word-Level Grounding of Images. CoRR (2023)
Anku Rani, S. M. Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit P. Sheth, Amitava Das
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. ACL (1) (2023)
Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. CoRR (2023)
Usha Lokala, Orchid Chetia Phukan, Triyasha Ghosh Dastidar, Francois R. Lamy, Raminta Daniulaityte, Amit P. Sheth
"Can We Detect Substance Use Disorder?": Knowledge and Time Aware Classification on Social Media from Darkweb. CoRR (2023)
Kaushik Roy, Vedant Khandelwal, Harshul Surana, Valerie Vera, Amit P. Sheth, Heather Heckman
GEAR-Up: Generative AI and External Knowledge-based Retrieval Upgrading Scholarly Article Searches for Systematic Reviews. CoRR (2023)
Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. SMC (2023)
Megha Chakraborty, Khushbu Pahwa, Anku Rani, Shreyas Chatterjee, Dwip Dalal, Harshit Dave, Ritvik G, Preethi Gurumurthy, Adarsh Mahor, Samahriti Mukherjee, Aditya Pakala, Ishan Paul, Janvita Reddy, Arghya Sarkar, Kinjal Sensharma, Aman Chadha, Amit P. Sheth, Amitava Das
FACTIFY3M: A benchmark for multimodal fact verification with explainability through 5W Question-Answering. EMNLP (2023)
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit P. Sheth, Amitava Das
ANALOGICAL - A Novel Benchmark for Long Text Analogy Evaluation in Large Language Models. ACL (Findings) (2023)
Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee, Shashwat Jha, Amit P. Sheth, Aman Chadha, Amitava Das
RESTORE: Graph Embedding Assessment Through Reconstruction. CoRR (2023)
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. CoRR (2023)
Suryavardan S, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Factify 2: A Multimodal Fake News and Satire News Dataset. CoRR (2023)
Yuxin Zi, Hariram Veeramani, Kaushik Roy, Amit P. Sheth
RDR: the Recap, Deliberate, and Respond Method for Enhanced Language Understanding. CoRR (2023)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
Knowledge-Infused Self Attention Transformers. CoRR (2023)
Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. CoRR (2023)
Kaushik Roy, Tarun Garg, Vedant Palit, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Knowledge Graph Guided Semantic Evaluation of Language Models For User Trust. CoRR (2023)
Kaushik Roy, Vedant Khandelwal, Raxit Goswami, Nathan Dolbir, Jinendra Malekar, Amit P. Sheth
Demo Alleviate: Demonstrating Artificial Intelligence Enabled Virtual Assistance for Telehealth: The Mental Health Case. AAAI (2023)
Aidin Shiri, Kaushik Roy, Amit P. Sheth, Manas Gaur
L3 Ensembles: Lifelong Learning Approach for Ensemble of Foundational Language Models. CoRR (2023)
Shreyash Mishra, Suryavardan S, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. CoRR (2023)
Revathy Venkataramanan, Kaushik Roy, Kanak Raj, Renjith Prasad, Yuxin Zi, Vignesh Narayanan, Amit P. Sheth
Cook-Gen: Robust Generative Modeling of Cooking Actions from Recipes. CoRR (2023)
Fadi El Kalach, Ruwan Wickramarachchi, Ramy F. Harik, Amit P. Sheth
A Semantic Web Approach to Fault Tolerant Autonomous Manufacturing. IEEE Intell. Syst. 38 (1) (2023)
Chathurangi Shyalika, Ruwan Wickramarachchi, Amit P. Sheth
A Comprehensive Survey on Rare Event Prediction. CoRR (2023)
Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das
Why Do We Need Neurosymbolic AI to Model Pragmatic Analogies? IEEE Intell. Syst. 38 (5) (2023)
Manas Gaur, Amit P. Sheth
Building Trustworthy NeuroSymbolic AI Systems: Consistency, Reliability, Explainability, and Safety. CoRR (2023)
S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Findings of factify 2: multimodal fake news detection. DE-FACTIFY@AAAI (2023)
Vipula Rawte, Prachi Priya, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Amit P. Sheth, Amitava Das
Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness. CoRR (2023)
Megha Chakraborty, Khusbu Pahwa, Anku Rani, Adarsh Mahor, Aditya Pakala, Arghya Sarkar, Harshit Dave, Ishan Paul, Janvita Reddy, Preethi Gurumurthy, Ritvik G, Samahriti Mukherjee, Shreyas Chatterjee, Kinjal Sensharma, Dwip Dalal, Suryavardan S, Shreyash Mishra, Parth Patwa, Aman Chadha, Amit P. Sheth, Amitava Das
FACTIFY3M: A Benchmark for Multimodal Fact Verification with Explainability through 5W Question-Answering. CoRR (2023)
Revathy Venkataramanan, Aalap Tripathy, Martin Foltin, Hong Yung Yip, Annmary Justine, Amit P. Sheth
Knowledge Graph Empowered Machine Learning Pipelines for Improved Efficiency, Reusability, and Explainability. IEEE Internet Comput. 27 (1) (2023)
Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies? CoRR (2023)
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Bimal G. Gajera, Shreeyash Mukul Gowaikar, Chandan Gupta, Aman Chadha, Aishwarya Naresh Reganti, Amit P. Sheth, Amitava Das
ANALOGICAL - A New Benchmark for Analogy of Long Text for Large Language Models. CoRR (2023)
S. Suryavardan, Shreyash Mishra, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Factify 2: A multimodal fake news and satire news dataset. DE-FACTIFY@AAAI (2023)
S. Suryavardan, Shreyash Mishra, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Findings of Factify 2: Multimodal Fake News Detection. CoRR (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic AI - Why, What, and How. CoRR (2023)
Abhisek Tiwari, Muhammed Sinan, Kaushik Roy, Amit P. Sheth, Sriparna Saha, Pushpak Bhattacharyya
Hi Model, generating 'nice' instead of 'good' is not as bad as generating 'rice'! Towards Context and Semantic Infused Dialogue Generation Loss Function and Evaluation Metric. CoRR (2023)
Anku Rani, S. M. Towhidul Islam Tonmoy, Dwip Dalal, Shreya Gautam, Megha Chakraborty, Aman Chadha, Amit P. Sheth, Amitava Das
FACTIFY-5WQA: 5W Aspect-based Fact Verification through Question Answering. CoRR (2023)
Amit P. Sheth, Kaushik Roy
Neurosymbolic Value-Inspired AI (Why, What, and How). CoRR (2023)
Vipula Rawte, Swagata Chakraborty, Agnibh Pathak, Anubhav Sarkar, S. M. Towhidul Islam Tonmoy, Aman Chadha, Amit P. Sheth, Amitava Das
The Troubling Emergence of Hallucination in Large Language Models - An Extensive Definition, Quantification, and Prescriptive Remediations. EMNLP (2023)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process Knowledge for Safety Constrained and Explainable Question Generation for Mental Health Diagnostic Assistance. CoRR (2023)
Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR (2023)
Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Shreya Gautam, Tanay Kumar, Krish Sharma, Niyar R. Barman, Chandan Gupta, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das
Counter Turing Test (CT2): AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index (ADI). EMNLP (2023)
Amit P. Sheth, Kaushik Roy, Manas Gaur
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38 (3) (2023)
Shreyash Mishra, S. Suryavardan, Parth Patwa, Megha Chakraborty, Anku Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Memotion 3: Dataset on sentiment and emotion analysis of codemixed Hindi-English Memes. DE-FACTIFY@AAAI (2023)
Utkarshani Jaimini, Cory A. Henson, Amit P. Sheth
An Ontology Design Pattern for Representing Causality. WOP@ISWC (2023)
Vipula Rawte, Amit P. Sheth, Amitava Das
A Survey of Hallucination in Large Foundation Models. CoRR (2023)
Shreyash Mishra, S. Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit P. Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes. DE-FACTIFY@AAAI (2023)
Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data. AAAI (2023)
Megha Chakraborty, S. M. Towhidul Islam Tonmoy, S. M. Mehedi Zaman, Krish Sharma, Niyar R. Barman, Chandan Gupta, Shreya Gautam, Tanay Kumar, Vinija Jain, Aman Chadha, Amit P. Sheth, Amitava Das
Counter Turing Test CT^2: AI-Generated Text Detection is Not as Easy as You May Think - Introducing AI Detectability Index. CoRR (2023)
Thilini Wijesiriwardene, Vinh Nguyen, Goonmeet Bajaj, Hong Yung Yip, Vishesh Javangula, Yuqing Mao, Kin Wah Fung, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
UBERT: A Novel Language Model for Synonymy Prediction at Scale in the UMLS Metathesaurus. CoRR (2022)
Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR (2022)
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md. Shad Akhtar, Maryam Panahiazar, Amit P. Sheth
A Computational Approach to Understand Mental Health from Reddit: Knowledge-Aware Multitask Learning Framework. ICWSM (2022)
Parth Patwa, Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
Benchmarking Multi-Modal Entailment for Fact Verification (short paper). DE-FACTIFY@AAAI (2022)
Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
Memotion 2: Dataset on Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI (2022)
Thilini Wijesiriwardene, Ruwan Wickramarachchi, Valerie L. Shalin, Amit P. Sheth
Towards efficient scoring of student-generated long-form analogies in STEM. ICCBR Workshops (2022)
Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems (2022)
Parth Patwa, Sathyanarayanan Ramamoorthy, Nethra Gunti, Shreyash Mishra, Suryavardan S, Aishwarya N. Reganti, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal, Chaitanya Ahuja
Findings of Memotion 2: Sentiment and Emotion Analysis of Memes (short paper). DE-FACTIFY@AAAI (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR (2022)
Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Amit P. Sheth, Srinivasan Parthasarathy, Olivier Bodenreider
Evaluating Biomedical Word Embeddings for Vocabulary Alignment at Scale in the UMLS Metathesaurus Using Siamese Networks. Insights@ACL (2022)
Vinh Nguyen, Hong Yung Yip, Goonmeet Bajaj, Thilini Wijesiriwardene, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
Context-Enriched Learning Models for Aligning Biomedical Vocabularies at Scale in the UMLS Metathesaurus. WWW (2022)
Tarun Garg, Kaushik Roy, Amit P. Sheth
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR (2022)
Shrey Gupta, Anmol Agarwal, Manas Gaur, Kaushik Roy, Vignesh Narayanan, Ponnurangam Kumaraguru, Amit P. Sheth
Learning to Automate Follow-up Question Generation using Process Knowledge for Depression Triage on Reddit Posts. CoRR (2022)
Maryam Panahiazar, Yorick Chern, Ramon Riojas, Omar S. Latif, Usha Lokala, Dexter Hadley, Amit P. Sheth, Ramin E. Beygui
An Ontology for Cardiothoracic Surgical Education and Clinical Data Analytics. MIE (2022)
Usha Lokala, Aseem Srivastava, Triyasha Ghosh Dastidar, Tanmoy Chakraborty, Md Shad Akthar, Maryam Panahiazar, Amit P. Sheth
A Computational Approach to Understand Mental Health from Reddit: Knowledge-aware Multitask Learning Framework. CoRR (2022)
Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems. IEEE Intell. Syst. 37 (5) (2022)
Ying Ding, Amit P. Sheth, Krzysztof W. Janowicz, Sergio Baranzini, Sharat Israni, Ilkay Altintas, Lilit Yeghiazarian, Ellie Young, Sam Klein
International Workshop on Knowledge Graphs: Open Knowledge Network. KDD (2022)
Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems. CoRR (2022)
Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu
Defining and detecting toxicity on social media: context and knowledge are key. Neurocomputing 490 (2022)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal
Process Knowledge-Infused AI: Toward User-Level Explainability, Interpretability, and Safety. IEEE Internet Comput. 26 (5) (2022)
Utkarshani Jaimini, Amit P. Sheth
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Comput. 26 (1) (2022)
Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Sakthi Balan Muthiah, Amit P. Sheth
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Spread of Infection. CoRR (2022)
Keyur Faldu, Amit P. Sheth, Prashant Kikani, Darshan Patel
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems. CoRR (2022)
Kaushik Roy, Manas Gaur, Misagh Soltani, Vipula Rawte, Ashwin Kalyan, Amit P. Sheth
ProKnow: Process knowledge for safety constrained and explainable question generation for mental health diagnostic assistance. Frontiers Big Data 5 (2022)
Utkarshani Jaimini, Amit P. Sheth
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning. CoRR (2022)
Utkarshani Jaimini, Tongtao Zhang, Georgia Olympia Brikis, Amit P. Sheth
iMetaverseKG: Industrial Metaverse Knowledge Graph to Promote Interoperability in Design and Engineering Applications. IEEE Internet Comput. 26 (6) (2022)
Shreyash Mishra, Suryavardan S, Amrit Bhaskar, Parul Chopra, Aishwarya N. Reganti, Parth Patwa, Amitava Das, Tanmoy Chakraborty, Amit P. Sheth, Asif Ekbal
FACTIFY: A Multi-Modal Fact Verification Dataset. DE-FACTIFY@AAAI (2022)
Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR (2022)
Manas Gaur, Kalpa Gunaratna, Shreyansh P. Bhatt, Amit P. Sheth
Knowledge-Infused Learning: A Sweet Spot in Neuro-Symbolic AI. IEEE Internet Comput. 26 (4) (2022)
Keyur Faldu, Amit P. Sheth, Prashant Kikani, Manas Gaur, Aditi Avasthi
Towards Tractable Mathematical Reasoning: Challenges, Strategies, and Opportunities for Solving Math Word Problems. CoRR (2021)
Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key. CoRR (2021)
Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu
Knowledge-intensive Language Understanding for Explainable AI. CoRR (2021)
Manas Gaur, Kaushik Roy, Aditya Sharma, Biplav Srivastava, Amit P. Sheth
"Who can help me?": Knowledge Infused Matching of Support Seekers and Support Providers during COVID-19 on Reddit. ICHI (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR (2021)
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. CoRR (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) (2021)
Ugur Kursuncu, Hemant Purohit, Nitin Agarwal, Amit P. Sheth
When the Bad is Good and the Good is Bad: Understanding Cyber Social Health Through Online Behavioral Change. IEEE Internet Comput. 25 (1) (2021)
Ugur Kursuncu, Hemant Purohit, Nitin Agarwal, Amit P. Sheth
When the Bad Is Good and the Good Is Bad: Understanding Cyber Social Health Through Online Behavioral Change. IEEE Internet Comput. 25 (2) (2021)
Kaushik Roy, Usha Lokala, Vedant Khandelwal, Amit P. Sheth
"Is depression related to cannabis?": A knowledge-infused model for Entity and Relation Extraction with Limited Supervision. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (2021)
Kaishu Xia, Clint Saidy, Max Kirkpatrick, Noble Anumbe, Amit P. Sheth, Ramy F. Harik
Towards Semantic Integration of Machine Vision Systems to Aid Manufacturing Event Understanding. Sensors 21 (13) (2021)
Amit P. Sheth, Krishnaprasad Thirunarayan
The Inescapable Duality of Data and Knowledge. CoRR (2021)
Amit P. Sheth, Krishnaprasad Thirunarayan
The Duality of Data and Knowledge Across the Three Waves of AI. IT Prof. 23 (3) (2021)
Goonmeet Bajaj, Ugur Kursuncu, Manas Gaur, Usha Lokala, Ayaz Hyder, Srinivasan Parthasarathy, Amit P. Sheth
Knowledge-Driven Drug-Use NamedEntity Recognition with Distant Supervision. MedInfo (2021)
Muhammad Intizar Ali, Pankesh Patel, John G. Breslin, Ramy F. Harik, Amit P. Sheth
Cognitive Digital Twins for Smart Manufacturing. IEEE Intell. Syst. 36 (2) (2021)
Goonmeet Bajaj, Vinh Nguyen, Thilini Wijesiriwardene, Hong Yung Yip, Vishesh Javangula, Srinivasan Parthasarathy, Amit P. Sheth, Olivier Bodenreider
Evaluating Biomedical BERT Models for Vocabulary Alignment at Scale in the UMLS Metathesaurus. CoRR (2021)
Ugur Kursuncu, Jeremy Blackburn, Yelena Mejova, Megan Squire, Amit P. Sheth
Cyber Social Threats 2021: AI, Covid-19 Vaccine, Detection and Countering Strategies. ICWSM Workshops (2021)
Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR (2021)
Keyur Faldu, Amit P. Sheth, Prashant Kikani, Hemang Akabari
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding. CoRR (2021)

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Amit P. Sheth