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ORCIDAmit P. Sheth
Person information
- affiliation: University of South Carolina, SC, USA
- affiliation (former): Wright State University, Dayton, Kno.e.sis Center
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2020 – today
- 2023
[j167]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): 69-75 (2023)- [j166]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic Artificial Intelligence (Why, What, and How). IEEE Intell. Syst. 38(3): 56-62 (2023) - [j165]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): 81-88 (2023) - [c294]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: 16479-16481 - [c293]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
CLUE-AD: A Context-Based Method for Labeling Unobserved Entities in Autonomous Driving Data. AAAI 2023: 16491-16493 - [c292]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: 3534-3549 - [c291]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: 10421-10440 - [c290]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: 648-658 - [i107]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 abs/2303.09892 (2023) - [i106]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 abs/2304.00025 (2023) - [i105]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 abs/2304.03897 (2023) - [i104]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 abs/2304.10512 (2023) - [i103]Amit P. Sheth, Kaushik Roy, Manas Gaur:
Neurosymbolic AI - Why, What, and How. CoRR abs/2305.00813 (2023) - [i102]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 abs/2305.04329 (2023) - [i101]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 abs/2305.04989 (2023) - [i100]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. CoRR abs/2305.05050 (2023) - [i99]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 abs/2305.08010 (2023) - [i98]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 abs/2305.10438 (2023) - [i97]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 abs/2306.01805 (2023) - [i96]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 abs/2306.05523 (2023) - [i95]Kaushik Roy, Yuxin Zi, Manas Gaur, Jinendra Malekar, Qi Zhang, Vignesh Narayanan, Amit P. Sheth:
Process Knowledge-infused Learning for Clinician-friendly Explanations. CoRR abs/2306.09824 (2023) - [i94]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
Knowledge-Infused Self Attention Transformers. CoRR abs/2306.13501 (2023) - [i93]Yuxin Zi, Kaushik Roy, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
IERL: Interpretable Ensemble Representation Learning - Combining CrowdSourced Knowledge and Distributed Semantic Representations. CoRR abs/2306.13865 (2023) - [i92]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 abs/2307.10475 (2023) - [i91]Thilini Wijesiriwardene, Amit P. Sheth, Valerie L. Shalin, Amitava Das:
Why Do We Need Neuro-symbolic AI to Model Pragmatic Analogies? CoRR abs/2308.01936 (2023) - [i90]Hong Yung Yip, Chidaksh Ravuru, Neelabha Banerjee, Shashwat Jha, Amit P. Sheth, Aman Chadha, Amitava Das:
RESTORE: Graph Embedding Assessment Through Reconstruction. CoRR abs/2308.14659 (2023) - [i89]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 abs/2309.05804 (2023) - [i88]Vipula Rawte, Amit P. Sheth, Amitava Das:
A Survey of Hallucination in Large Foundation Models. CoRR abs/2309.05922 (2023) - [i87]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 abs/2309.06517 (2023) - [i86]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 abs/2309.11064 (2023) - [i85]Chathurangi Shyalika, Ruwan Wickramarachchi, Amit P. Sheth:
A Comprehensive Survey on Rare Event Prediction. CoRR abs/2309.11356 (2023) - 2022
- [j164]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
Knowledge-Based Entity Prediction for Improved Machine Perception in Autonomous Systems. IEEE Intell. Syst. 37(5): 42-49 (2022) - [j163]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) - [j162]Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and detecting toxicity on social media: context and knowledge are key. Neurocomputing 490: 312-318 (2022) - [j161]Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability Using Interventional and Counterfactual Reasoning. IEEE Internet Comput. 26(1): 43-50 (2022) - [j160]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): 5-11 (2022) - [j159]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): 76-84 (2022) - [j158]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): 59-67 (2022) - [c289]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 - [c288]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 - [c287]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 - [c286]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 - [c285]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: 82-87 - [c284]Kaushik Roy, Usha Lokala, Manas Gaur, Amit P. Sheth:
Tutorial: Neuro-symbolic AI for Mental Healthcare. AIMLSystems 2022: 28:1-28:3 - [c283]Thilini Wijesiriwardene, Ruwan Wickramarachchi, Valerie L. Shalin, Amit P. Sheth:
Towards efficient scoring of student-generated long-form analogies in STEM. ICCBR Workshops 2022: 89-103 - [c282]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: 640-650 - [c281]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: 4864-4865 - [c280]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: 407-408 - [c279]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: 1037-1046 - [e22]Amitava Das, Tanmay Chakraborty, Asif Ekbal, Amit P. Sheth:
Proceedings of the Workshop on Multi-Modal Fake News and Hate-Speech Detection (DE-FACTIFY 2022) co-located with the Thirty-Sixth AAAI Conference on Artificial Intelligence ( AAAI 2022), Virtual Event, Vancouver, Canada, February 27, 2022. CEUR Workshop Proceedings 3199, CEUR-WS.org 2022 [contents] - [i84]Utkarshani Jaimini, Amit P. Sheth:
CausalKG: Causal Knowledge Graph Explainability using interventional and counterfactual reasoning. CoRR abs/2201.03647 (2022) - [i83]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 abs/2203.11856 (2022) - [i82]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
Knowledge-based Entity Prediction for Improved Machine Perception in Autonomous Systems. CoRR abs/2203.16616 (2022) - [i81]Kaushik Roy, Manas Gaur, Qi Zhang, Amit P. Sheth:
Process Knowledge-infused Learning for Suicidality Assessment on Social Media. CoRR abs/2204.12560 (2022) - [i80]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 abs/2204.12716 (2022) - [i79]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 abs/2205.01325 (2022) - [i78]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 abs/2205.13884 (2022) - [i77]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Darshan Patel:
MMTM: Multi-Tasking Multi-Decoder Transformer for Math Word Problems. CoRR abs/2206.01268 (2022) - [i76]Tarun Garg, Kaushik Roy, Amit P. Sheth:
Can Language Models Capture Graph Semantics? From Graphs to Language Model and Vice-Versa. CoRR abs/2206.09259 (2022) - [i75]Amit P. Sheth, Manas Gaur, Kaushik Roy, Revathy Venkataramanan, Vedant Khandelwal:
Process Knowledge-Infused AI: Towards User-level Explainability, Interpretability, and Safety. CoRR abs/2206.13349 (2022) - [i74]Kaushik Roy, Yuxin Zi, Vignesh Narayanan, Manas Gaur, Amit P. Sheth:
KSAT: Knowledge-infused Self Attention Transformer - Integrating Multiple Domain-Specific Contexts. CoRR abs/2210.04307 (2022) - 2021
- [j157]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): 96-100 (2021) - [j156]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
Knowledge-infused Learning for Entity Prediction in Driving Scenes. Frontiers Big Data 4: 759110 (2021) - [j155]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): 6-11 (2021) - [j154]Manas Gaur, Keyur Faldu, Amit P. Sheth:
Semantics of the Black-Box: Can Knowledge Graphs Help Make Deep Learning Systems More Interpretable and Explainable? IEEE Internet Comput. 25(1): 51-59 (2021) - [j153]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): 46-47 (2021) - [j152]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-Intensive Language Understanding for Explainable AI. IEEE Internet Comput. 25(5): 19-24 (2021) - [j151]Amit P. Sheth, Krishnaprasad Thirunarayan:
The Duality of Data and Knowledge Across the Three Waves of AI. IT Prof. 23(3): 35-45 (2021) - [j150]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): 4276 (2021) - [c278]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 - [c277]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering 2021 - [c276]Forest Agostinelli, Mihir Mavalankar, Vedant Khandelwal, Hengtao Tang, Dezhi Wu, Barnett Berry, Biplav Srivastava, Amit P. Sheth, Matthew Irvin:
Designing Children's New Learning Partner: Collaborative Artificial Intelligence for Learning to Solve the Rubik's Cube. IDC 2021: 610-614 - [c275]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: 265-269 - [c274]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 - [c273]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: 140-144 - [c272]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. ECML/PKDD (1) 2021: 35-50 - [d1]Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. Zenodo, 2021
- [i73]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 abs/2102.01222 (2021) - [i72]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients for Adaptive Pandemic Control. CoRR abs/2102.06245 (2021) - [i71]Amit P. Sheth, Krishnaprasad Thirunarayan:
The Inescapable Duality of Data and Knowledge. CoRR abs/2103.13520 (2021) - [i70]Usha Lokala, Francois R. Lamy, Triyasha Ghosh Dastidar, Kaushik Roy, Raminta Daniulaityte, Srinivasan Parthasarathy, Amit P. Sheth:
eDarkTrends: Harnessing Social Media Trends in Substance use disorders for Opioid Listings on Cryptomarket. CoRR abs/2103.15764 (2021) - [i69]Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonanthan Beich, Jyotishman Pathak, Amit P. Sheth:
Characterization of Time-variant and Time-invariant Assessment of Suicidality on Reddit using C-SSRS. CoRR abs/2104.04140 (2021) - [i68]Keyur Faldu, Amit P. Sheth, Prashant Kikani, Hemang Akabari:
KI-BERT: Infusing Knowledge Context for Better Language and Domain Understanding. CoRR abs/2104.08145 (2021) - [i67]Amit P. Sheth, Valerie L. Shalin, Ugur Kursuncu:
Defining and Detecting Toxicity on Social Media: Context and Knowledge are Key. CoRR abs/2104.10788 (2021) - [i66]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. CoRR abs/2105.06398 (2021) - [i65]Kaushik Roy, Qi Zhang, Manas Gaur, Amit P. Sheth:
Knowledge Infused Policy Gradients with Upper Confidence Bound for Relational Bandits. CoRR abs/2106.13895 (2021) - [i64]Amit P. Sheth, Manas Gaur, Kaushik Roy, Keyur Faldu:
Knowledge-intensive Language Understanding for Explainable AI. CoRR abs/2108.01174 (2021) - [i63]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 abs/2109.13348 (2021) - [i62]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 abs/2111.05364 (2021) - 2020
- [j149]Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao:
Knowledge Graph Semantic Enhancement of Input Data for Improving AI. IEEE Internet Comput. 24(2): 66-72 (2020) - [j148]Hemant Purohit, Valerie L. Shalin, Amit P. Sheth:
Knowledge Graphs to Empower Humanity-Inspired AI Systems. IEEE Internet Comput. 24(4): 48-54 (2020) - [j147]Sanjaya Wijeratne, Horacio Saggion, Emre Kiciman, Amit P. Sheth:
Emoji Understanding and Applications in Social Media: Lay of the Land and Special Issue Introduction. ACM Trans. Soc. Comput. 3(2): 6:1-6:5 (2020) - [c271]Ugur Kursuncu, Manas Gaur, Amit P. Sheth:
Knowledge Infused Learning (K-IL): Towards Deep Incorporation of Knowledge in Deep Learning. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c270]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering (1) 2020 - [c269]Shweta Yadav, Jainish Chauhan, Joy Prakash Sain, Krishnaprasad Thirunarayan, Amit P. Sheth, Jeremiah Schumm:
Identifying Depressive Symptoms from Tweets: Figurative Language Enabled Multitask Learning Framework. COLING 2020: 696-709 - [c268]Shweta Yadav, Vishal Pallagani, Amit P. Sheth:
Medical Knowledge-enriched Textual Entailment Framework. COLING 2020: 1795-1801 - [c267]Manas Gaur, Ugur Kursuncu, Amit P. Sheth, Ruwan Wickramarachchi, Shweta Yadav:
Knowledge-infused Deep Learning. HT 2020: 309-310 - [c266]Shweta Yadav, Joy Prakash Sain, Amit P. Sheth, Asif Ekbal, Sriparna Saha, Pushpak Bhattacharyya:
Assessing the Severity of Health States based on Social Media Posts. ICPR 2020: 5728-5735 - [c265]Ugur Kursuncu, Yelena Mejova, Jeremy Blackburn, Amit P. Sheth:
Cyber Social Threats 2020 Workshop Meta-report: COVID-19, Challenges, Methodological and Ethical Considerations. ICWSM Workshops 2020 - [c264]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior Among Adolescents on Twitter. SocInfo 2020: 427-439 - [c263]Ramnath Kumar, Shweta Yadav, Raminta Daniulaityte, Francois R. Lamy, Krishnaprasad Thirunarayan, Usha Lokala, Amit P. Sheth:
eDarkFind: Unsupervised Multi-view Learning for Sybil Account Detection. WWW 2020: 1955-1965 - [e21]Manas Gaur, Alejandro Jaimes, Fatma Ozcan, Srinivasan Parthasarathy, Sameena Shah, Amit P. Sheth, Biplav Srivastava:
Proceedings of the ACM SIGKDD Workshop on Knowledge-infused Mining and Learning for Social Impact co-located with 26th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (Virtual) (SIGKDD 2020), San Diego, California, USA, August 24, 2020. CEUR Workshop Proceedings 2657, CEUR-WS.org 2020 [contents] - [e20]Reza Samavi, Mariano P. Consens, Shahan Khatchadourian, Vinh Nguyen, Amit P. Sheth, José M. Giménez-García, Harsh Thakkar:
Proceedings of the Blockchain enabled Semantic Web Workshop (BlockSW) and Contextualized Knowledge Graphs (CKG) Workshop co-located with the 18th International Semantic Web Conference, BlockSW/CKG@ISWC 2019, Auckland, New Zealand, October 27, 2019. CEUR Workshop Proceedings 2599, CEUR-WS.org 2020 [contents] - [i61]Ruwan Wickramarachchi, Cory A. Henson, Amit P. Sheth:
An Evaluation of Knowledge Graph Embeddings for Autonomous Driving Data: Experience and Practice. CoRR abs/2003.00344 (2020) - [i60]Amit P. Sheth, Swati Padhee, Amelie Gyrard:
Knowledge Graphs and Knowledge Networks: The Story in Brief. CoRR abs/2003.03623 (2020) - [i59]Shreyansh P. Bhatt, Amit P. Sheth, Valerie L. Shalin, Jinjin Zhao:
Knowledge Graph semantic enhancement of input data for improving AI. CoRR abs/2005.04726 (2020) - [i58]Nirmal Kumar Sivaraman, Manas Gaur, Shivansh Baijal, Ch V. Radha Sai Rupesh, Sakthi Balan Muthiah, Amit P. Sheth:
Exo-SIR: An Epidemiological Model to Analyze the Impact of Exogenous Infection of COVID-19 in India. CoRR abs/2008.06335 (2020) - [i57]Thilini Wijesiriwardene, Hale Inan, Ugur Kursuncu, Manas Gaur, Valerie L. Shalin, Krishnaprasad Thirunarayan, Amit P. Sheth, Ismailcem Budak Arpinar:
ALONE: A Dataset for Toxic Behavior among Adolescents on Twitter.