Mayank Kejriwal

Research Assistant Professor, Principal Scientist

Ph.D. in Computer Science, University of Texas at Austin, 2016

ABOUT

Mayank Kejriwal is a Research Assistant Professor in the Department of Industrial and Systems Engineering, and a Principal Scientist at the USC Information Sciences Institute (ISI). Prior to joining USC in 2016, he obtained his Ph.D. from the University of Texas at Austin. His dissertation, titled "Populating a Linked Data Entity Name System", was awarded the Best Dissertation Award by the Semantic Web Science Association in 2017. He currently leads and directs the Artificial Intelligence and Complex Systems (AICS) group at ISI. His research is centered on designing and applying neuro-symbolic AI to real-world complex problems. He is especially interested in combining the benefits of knowledge graphs and generative AI models, including large language models like ChatGPT, in service of human-centered computing applications.

Dr. Kejriwal is the author of four books, including "Domain-specific Knowledge Graph Construction" (Springer) and "Knowledge Graphs: Fundamentals, Techniques, and Applications" (MIT Press). He is a passionate advocate of using Artificial Intelligence technology for social good, and regularly collaborates with domain-experts to build such systems. He has given talks and tutorials in international academic and industrial venues, including serving as a roundtable speaker and participant (on using AI for fighting child trafficking) at the Concordia Summit that was co-held with the UN General Assembly in New York City in September, 2019. Therein, he was co-author of a multi-organization whitepaper on using AI to fight child trafficking. The myDIG system, which he co-built and co-authored and that was a product of the MEMEX program, was nominated for a Best Demonstration award at the prestigious AAAI conference in 2018.

Dr. Kejriwal's research has been funded by several private and federal sources, including the Defense Advanced Research Projects Agency (DARPA), corporations, and philanthropic donors, and has published almost a hundred peer-reviewed pieces. Both his work and profile has also appeared in international press outlets, such as the BBC, CNN Indonesia, Popular Science, the World Economic Forum, and most recently, Economy Chosun.

Books

PROJECTS

PUBLICATIONS

Publications

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  2023 (21)
A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Santos, H.; Shen, K.; Mulvehill, A. M; Kejriwal, M.; and McGuinness, D. L Data Intelligence,1–29. 2023.
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Using conditional inference to quantify interaction effects of socio-demographic covariates of US COVID-19 vaccine hesitancy. Shen, K.; and Kejriwal, M. PLOS Global Public Health, 3(5): e0001151. 2023.
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A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain. Kejriwal, M.; Haidarian, H.; Chiu, M.; Xiang, A.; Shrestha, D.; and Javed, F. arXiv preprint arXiv:2310.05258. 2023.
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Context-Rich Evaluation of Machine Common Sense. Kejriwal, M.; Santos, H.; Shen, K.; Mulvehill, A. M; and McGuinness, D. L In International Conference on Artificial General Intelligence, pages 167–176, 2023. Springer
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Quantifying Gender Disparity in Pre-Modern English Literature using Natural Language Processing. Kejriwal, M.; and Nagaraj, A. Journal of Data Science,1–20. 2023.
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Designing Artificial Intelligence for Open Worlds. Kejriwal, M. In 2023 Annual Meeting, 2023. AAAS
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Quantifying COVID-19 policy impacts on subjective well-being during the early phase of the pandemic: A cross-sectional analysis of United States survey data from March to August 2020. Shen, K.; and Kejriwal, M. Plos one, 18(9): e0291494. 2023.
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A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. Tang, Z.; and Kejriwal, M. arXiv e-prints,arXiv–2302. 2023.
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Multi-agent Game Domain: Monopoly. Bonjour, T; Haliem, M; Aggarwal, V; Kejriwal, M; and Bhargava, B In A Unifying Framework for Formal Theories of Novelty: Discussions, Guidelines, and Examples for Artificial Intelligence, pages 97–105. Springer, 2023.
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Preface for the Second International Workshop on Knowledge Graph Generation from Text. ; and others In CEUR WORKSHOP PROCEEDINGS, volume 3447, pages 1–3, 2023. CEUR-WS
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An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. Shen, K.; and Kejriwal, M. Expert Systems,e13243. 2023.
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Evaluating deep generative models on cognitive tasks: a case study. Tang, Z.; and Kejriwal, M. Discover Artificial Intelligence, 3(1): 21. 2023.
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Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. Cheng, X.; Zhang, Y.; Joshi, H.; Kejriwal, M.; and Calyam, P. In 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA), pages 1–10, 2023. IEEE
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Can language representation models think in bets?. Tang, Z.; and Kejriwal, M. Royal Society Open Science, 10(3): 221585. 2023.
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Can Language Models Be Used in Multistep Commonsense Planning Domains?. Tang, Z.; and Kejriwal, M. In International Conference on Artificial General Intelligence, pages 276–285, 2023. Springer
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How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?. Sisaengsuwanchai, K.; Nananukul, N.; and Kejriwal, M. arXiv preprint arXiv:2310.06174. 2023.
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Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. Liu, X.; Sun, T.; Fu, D.; Li, Z.; Qian, S.; Meng, R.; and Kejriwal, M. In Iberoamerican Knowledge Graphs and Semantic Web Conference, pages 151–167, 2023. Springer
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A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. Shen, K.; and Kejriwal, M. arXiv preprint arXiv:2310.03283. 2023.
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TG-CSR: A human-labeled dataset grounded in nine formal commonsense categories. Santos, H.; Mulvehill, A. M; Shen, K.; Kejriwal, M.; and McGuinness, D. L Data in Brief, 51: 109666. 2023.
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Special Issue on Artificial Intelligence and Complex Systems. Kejriwal, M. 2023.
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Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google. Kejriwal, M. Springer, 2023.
Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google [link]Paper   doi   link   bibtex   10 downloads  
  2022 (13)
Transfer-based taxonomy induction over concept labels. Kejriwal, M.; Shen, K.; Ni, C.; and Torzec, N. Eng. Appl. Artif. Intell., 108: 104548. 2022.
Transfer-based taxonomy induction over concept labels [link]Paper   doi   link   bibtex  
Knowledge Graphs: A Practical Review of the Research Landscape. Kejriwal, M. Inf., 13(4): 161. 2022.
Knowledge Graphs: A Practical Review of the Research Landscape [link]Paper   doi   link   bibtex   1 download  
Designing a strong test for measuring true common-sense reasoning. Kejriwal, M.; Santos, H.; Mulvehill, A. M.; and McGuinness, D. L. Nat. Mach. Intell., 4(4): 318–322. 2022.
Designing a strong test for measuring true common-sense reasoning [link]Paper   doi   link   bibtex  
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. Kejriwal, M.; and Szekely, P. A. IEEE Trans. Big Data, 8(3): 592–606. 2022.
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain [link]Paper   doi   link   bibtex   1 download  
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. Bonjour, T.; Haliem, M.; Alsalem, A. O.; Thomas, S.; Li, H.; Aggarwal, V.; Kejriwal, M.; and Bhargava, B. K. IEEE Trans. Emerg. Top. Comput. Intell., 6(6): 1335–1344. 2022.
Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach [link]Paper   doi   link   bibtex  
Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022. Tiwari, S.; Mihindukulasooriya, N.; Osborne, F.; Kontokostas, D.; D'Souza, J.; Kejriwal, M.; Bozzato, L.; Carriero, V. A.; Hahmann, T.; and Zimmermann, A., editors. Volume 3184, of CEUR Workshop Proceedings.CEUR-WS.org. 2022.
Proceedings of the 1st International Workshop on Knowledge Graph Generation From Text and the 1st International Workshop on Modular Knowledge co-located with 19th Extended Semantic Conference (ESWC 2022), Hersonissos, Greece, May 30th, 2022 [link]Paper   link   bibtex   1 download  
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?. Kejriwal, M.; and Shen, K. CoRR, abs/2203.06491. 2022.
Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? [link]Paper   doi   link   bibtex  
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. Santos, H.; Shen, K.; Mulvehill, A. M.; Razeghi, Y.; McGuinness, D. L.; and Kejriwal, M. CoRR, abs/2203.12184. 2022.
A Theoretically Grounded Benchmark for Evaluating Machine Commonsense [link]Paper   doi   link   bibtex  
Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing. Nagaraj, A.; and Kejriwal, M. CoRR, abs/2204.05872. 2022.
Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing [link]Paper   doi   link   bibtex  
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. Shen, K.; and Kejriwal, M. CoRR, abs/2210.01258. 2022.
Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes [link]Paper   doi   link   bibtex   1 download  
Understanding Substructures in Commonsense Relations in ConceptNet. Shen, K.; and Kejriwal, M. CoRR, abs/2210.01263. 2022.
Understanding Substructures in Commonsense Relations in ConceptNet [link]Paper   doi   link   bibtex  
Can Language Representation Models Think in Bets?. Tang, Z.; and Kejriwal, M. CoRR, abs/2210.07519. 2022.
Can Language Representation Models Think in Bets? [link]Paper   doi   link   bibtex  
On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product. Kejriwal, M.; and Luo, Y. CoRR, abs/2211.13117. 2022.
On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product [link]Paper   doi   link   bibtex  
  2021 (14)
An evaluation and annotation methodology for product category matching in e-commerce. Kejriwal, M.; Shen, K.; Ni, C.; and Torzec, N. Comput. Ind., 131: 103497. 2021.
An evaluation and annotation methodology for product category matching in e-commerce [link]Paper   doi   link   bibtex   13 downloads  
Knowledge Graphs: Fundamentals, Techniques, and Applications. Kejriwal, M.; Knoblock, C. A; and Szekely, P. MIT Press, 2021.
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A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. Melotte, S.; and Kejriwal, M. Data, 6(6): 64. 2021.
A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period [link]Paper   doi   link   bibtex   8 downloads  
Link Prediction Between Structured Geopolitical Events: Models and Experiments. Kejriwal, M. Frontiers Big Data, 4: 779792. 2021.
Link Prediction Between Structured Geopolitical Events: Models and Experiments [link]Paper   doi   link   bibtex  
Socioeconomic Correlates of Anti-Science Attitudes in the US. Hu, M.; Rao, A.; Kejriwal, M.; and Lerman, K. Future Internet, 13(6): 160. 2021.
Socioeconomic Correlates of Anti-Science Attitudes in the US [link]Paper   doi   link   bibtex   2 downloads  
Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables. Kejriwal, M. Inf., 12(3): 134. 2021.
Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables [link]Paper   doi   link   bibtex   6 downloads  
An empirical study of emoji usage on Twitter in linguistic and national contexts. Kejriwal, M.; Wang, Q.; Li, H.; and Wang, L. Online Soc. Networks Media, 24: 100149. 2021.
An empirical study of emoji usage on Twitter in linguistic and national contexts [link]Paper   doi   link   bibtex   1 download  
A meta-engine for building domain-specific search engines. Kejriwal, M. Softw. Impacts, 7: 100052. 2021.
A meta-engine for building domain-specific search engines [link]Paper   doi   link   bibtex   1 download  
A multi-agent simulator for generating novelty in monopoly. Kejriwal, M.; and Thomas, S. Simul. Model. Pract. Theory, 112: 102364. 2021.
A multi-agent simulator for generating novelty in monopoly [link]Paper   doi   link   bibtex   3 downloads  
Empirical Best Practices On Using Product-Specific Schema.org. Kejriwal, M.; Selvam, R. K.; Ni, C.; and Torzec, N. In Thirty-Fifth AAAI Conference on Artificial Intelligence, AAAI 2021, Thirty-Third Conference on Innovative Applications of Artificial Intelligence, IAAI 2021, The Eleventh Symposium on Educational Advances in Artificial Intelligence, EAAI 2021, Virtual Event, February 2-9, 2021, pages 15452–15457, 2021. AAAI Press
Empirical Best Practices On Using Product-Specific Schema.org [link]Paper   link   bibtex   1 download  
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. Shen, K.; and Kejriwal, M. In Bramer, M.; and Ellis, R., editor(s), Artificial Intelligence XXXVIII - 41st SGAI International Conference on Artificial Intelligence, AI 2021, Cambridge, UK, December 14-16, 2021, Proceedings, volume 13101, of Lecture Notes in Computer Science, pages 3–16, 2021. Springer
On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models [link]Paper   doi   link   bibtex  
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. Haliem, M.; Bonjour, T.; Alsalem, A. O.; Thomas, S.; Li, H.; Aggarwal, V.; Bhargava, B. K.; and Kejriwal, M. CoRR, abs/2103.00683. 2021.
Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach [link]Paper   link   bibtex  
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. Melotte, S.; and Kejriwal, M. CoRR, abs/2108.01699. 2021.
Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets [link]Paper   link   bibtex  
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter. Luo, Y.; and Kejriwal, M. CoRR, abs/2111.05823. 2021.
Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter [link]Paper   link   bibtex  
  2020 (8)
Network-theoretic modeling of complex activity using UK online sex advertisements. Kejriwal, M.; and Gu, Y. Appl. Netw. Sci., 5(1): 30. 2020.
Network-theoretic modeling of complex activity using UK online sex advertisements [link]Paper   doi   link   bibtex   6 downloads  
Structural studies of the global networks exposed in the Panama papers. Kejriwal, M.; and Dang, A. Appl. Netw. Sci., 5(1): 63. 2020.
Structural studies of the global networks exposed in the Panama papers [link]Paper   doi   link   bibtex  
On detecting urgency in short crisis messages using minimal supervision and transfer learning. Kejriwal, M.; and Zhou, P. Soc. Netw. Anal. Min., 10(1): 58. 2020.
On detecting urgency in short crisis messages using minimal supervision and transfer learning [link]Paper   doi   link   bibtex  
Locally Constructing Product Taxonomies from Scratch Using Representation Learning. Kejriwal, M.; Selvam, R. K.; Ni, C.; and Torzec, N. In Atzmüller, M.; Coscia, M.; and Missaoui, R., editor(s), IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2020, The Hague, Netherlands, December 7-10, 2020, pages 507–514, 2020. IEEE
Locally Constructing Product Taxonomies from Scratch Using Representation Learning [link]Paper   doi   link   bibtex  
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices. Selvam, R. K.; and Kejriwal, M. CoRR, abs/2007.13829. 2020.
On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices [link]Paper   link   bibtex  
An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. Ding, J.; and Kejriwal, M. CoRR, abs/2007.15066. 2020.
An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction [link]Paper   link   bibtex  
Do Fine-tuned Commonsense Language Models Really Generalize?. Kejriwal, M.; and Shen, K. CoRR, abs/2011.09159. 2020.
Do Fine-tuned Commonsense Language Models Really Generalize? [link]Paper   link   bibtex   2 downloads  
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. Shen, K.; and Kejriwal, M. CoRR, abs/2011.14084. 2020.
A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base [link]Paper   link   bibtex   2 downloads  
  2019 (12)
Domain-Specific Knowledge Graph Construction. Kejriwal, M. of Springer Briefs in Computer ScienceSpringer, 2019.
Domain-Specific Knowledge Graph Construction [link]Paper   doi   link   bibtex   20 downloads  
Network-theoretic information extraction quality assessment in the human trafficking domain. Kejriwal, M.; and Kapoor, R. Appl. Netw. Sci., 4(1): 44:1–44:26. 2019.
Network-theoretic information extraction quality assessment in the human trafficking domain [link]Paper   doi   link   bibtex   3 downloads  
myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. Kejriwal, M.; and Szekely, P. A. Future Internet, 11(3): 59. 2019.
myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming [link]Paper   doi   link   bibtex   2 downloads  
Knowledge graphs: Construction, management and querying. Kejriwal, M.; Sequeda, J. F.; and Lopez, V. Semantic Web, 10(6): 961–962. 2019.
Knowledge graphs: Construction, management and querying [link]Paper   doi   link   bibtex   16 downloads  
Low-supervision urgency detection and transfer in short crisis messages. Kejriwal, M.; and Zhou, P. In Spezzano, F.; Chen, W.; and Xiao, X., editor(s), ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, pages 353–356, 2019. ACM
Low-supervision urgency detection and transfer in short crisis messages [link]Paper   doi   link   bibtex  
Concept drift in bias and sensationalism detection: an experimental study. Zhang, S.; and Kejriwal, M. In Spezzano, F.; Chen, W.; and Xiao, X., editor(s), ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, pages 601–604, 2019. ACM
Concept drift in bias and sensationalism detection: an experimental study [link]Paper   doi   link   bibtex   1 download  
SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. Kejriwal, M.; and Zhou, P. In Spezzano, F.; Chen, W.; and Xiao, X., editor(s), ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, Vancouver, British Columbia, Canada, 27-30 August, 2019, pages 705–708, 2019. ACM
SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data [link]Paper   doi   link   bibtex   2 downloads  
Co-LOD: Continuous Space Linked Open Data. Kejriwal, M.; and Szekely, P. A. In Suárez-Figueroa, M. C.; Cheng, G.; Gentile, A. L.; Guéret, C.; Keet, C. M.; and Bernstein, A., editor(s), Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, Industry, and Outrageous Ideas) co-located with 18th International Semantic Web Conference (ISWC 2019), Auckland, New Zealand, October 26-30, 2019, volume 2456, of CEUR Workshop Proceedings, pages 333–337, 2019. CEUR-WS.org
Co-LOD: Continuous Space Linked Open Data [pdf]Paper   link   bibtex  
Unsupervised Product Entity Resolution using Graph Representation Learning. Gheini, M.; and Kejriwal, M. In Degenhardt, J.; Kallumadi, S.; Porwal, U.; and Trotman, A., editor(s), Proceedings of the SIGIR 2019 Workshop on eCommerce, co-located with the 42st International ACM SIGIR Conference on Research and Development in Information Retrieval, eCom@SIGIR 2019, Paris, France, July 25, 2019, volume 2410, of CEUR Workshop Proceedings, 2019. CEUR-WS.org
Unsupervised Product Entity Resolution using Graph Representation Learning [pdf]Paper   link   bibtex   2 downloads  
Expert-Guided Entity Extraction using Expressive Rules. Kejriwal, M.; Shao, R.; and Szekely, P. A. In Piwowarski, B.; Chevalier, M.; Gaussier, É.; Maarek, Y.; Nie, J.; and Scholer, F., editor(s), Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2019, Paris, France, July 21-25, 2019, pages 1353–1356, 2019. ACM
Expert-Guided Entity Extraction using Expressive Rules [link]Paper   doi   link   bibtex   2 downloads  
Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019. Kejriwal, M.; Szekely, P. A.; and Troncy, R., editors. ACM. 2019.
Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019 [link]Paper   doi   link   bibtex  
Low-supervision urgency detection and transfer in short crisis messages. Kejriwal, M.; and Zhou, P. CoRR, abs/1907.06745. 2019.
Low-supervision urgency detection and transfer in short crisis messages [link]Paper   link   bibtex  
  2018 (13)
How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls. Nam, D.; and Kejriwal, M. Computer, 51(6): 42–51. 2018.
How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls [link]Paper   doi   link   bibtex  
Investigative Knowledge Discovery for Combating Illicit Activities. Kejriwal, M.; Szekely, P. A.; and Knoblock, C. A. IEEE Intell. Syst., 33(1): 53–63. 2018.
Investigative Knowledge Discovery for Combating Illicit Activities [link]Paper   doi   link   bibtex   2 downloads  
Constructing Domain-Specific Search Engines With No Programming. Kejriwal, M.; and Szekely, P. A. In McIlraith, S. A.; and Weinberger, K. Q., editor(s), Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, pages 8204–8205, 2018. AAAI Press
Constructing Domain-Specific Search Engines With No Programming [link]Paper   link   bibtex  
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. Hundman, K.; Gowda, T.; Kejriwal, M.; and Boecking, B. In Furman, J.; Marchant, G. E.; Price, H.; and Rossi, F., editor(s), Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, AIES 2018, New Orleans, LA, USA, February 02-03, 2018, pages 137–143, 2018. ACM
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection [link]Paper   doi   link   bibtex   1 download  
Technology-assisted Investigative Search: A Case Study from an Illicit Domain. Kejriwal, M.; and Szekely, P. A. In Mandryk, R. L.; Hancock, M.; Perry, M.; and Cox, A. L., editor(s), Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, CHI 2018, Montreal, QC, Canada, April 21-26, 2018, 2018. ACM
Technology-assisted Investigative Search: A Case Study from an Illicit Domain [link]Paper   doi   link   bibtex   4 downloads  
Structured Event Entity Resolution in Humanitarian Domains. Kejriwal, M.; Peng, J.; Zhang, H.; and Szekely, P. A. In Vrandecic, D.; Bontcheva, K.; Suárez-Figueroa, M. C.; Presutti, V.; Celino, I.; Sabou, M.; Kaffee, L.; and Simperl, E., editor(s), The Semantic Web - ISWC 2018 - 17th International Semantic Web Conference, Monterey, CA, USA, October 8-12, 2018, Proceedings, Part I, volume 11136, of Lecture Notes in Computer Science, pages 233–249, 2018. Springer
Structured Event Entity Resolution in Humanitarian Domains [link]Paper   doi   link   bibtex  
THOR: Text-enabled Analytics for Humanitarian Operations. Kejriwal, M.; Gilley, D.; Szekely, P. A.; and Crisman, J. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 147–150, 2018. ACM
THOR: Text-enabled Analytics for Humanitarian Operations [link]Paper   doi   link   bibtex  
Domain-specific Insight Graphs (DIG). Szekely, P. A.; and Kejriwal, M. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 433–434, 2018. ACM
Domain-specific Insight Graphs (DIG) [link]Paper   doi   link   bibtex   1 download  
BigNet 2018 Chairs' Welcome & Organization. Tang, J.; Vazirgiannis, M.; Dong, Y.; Malliaros, F. D.; Cochez, M.; Kejriwal, M.; and Rettinger, A. In Champin, P.; Gandon, F.; Lalmas, M.; and Ipeirotis, P. G., editor(s), Companion of the The Web Conference 2018 on The Web Conference 2018, WWW 2018, Lyon , France, April 23-27, 2018, pages 943–944, 2018. ACM
BigNet 2018 Chairs' Welcome & Organization [link]Paper   doi   link   bibtex  
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), Heraklion, Crete, Greece, June 4, 2018. Cochez, M.; Declerck, T.; de Melo, G.; Anke, L. E.; Fetahu, B.; Gromann, D.; Kejriwal, M.; Koutraki, M.; Lécué, F.; Palumbo, E.; and Sack, H., editors. Volume 2106, of CEUR Workshop Proceedings.CEUR-WS.org. 2018.
Proceedings of the First Workshop on Deep Learning for Knowledge Graphs and Semantic Technologies (DL4KGS) co-located with the 15th Extended Semantic Web Conerence (ESWC 2018), Heraklion, Crete, Greece, June 4, 2018 [link]Paper   link   bibtex  
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. Zhang, T.; Subburathinam, A.; Shi, G.; Huang, L.; Lu, D.; Pan, X.; Li, M.; Zhang, B.; Wang, Q.; Whitehead, S.; Ji, H.; Zareian, A.; Akbari, H.; Chen, B.; Zhong, R.; Shao, S.; Allaway, E.; Chang, S.; McKeown, K. R.; Li, D.; Huang, X.; Sun, K.; Peng, X.; Gabbard, R.; Freedman, M.; Kejriwal, M.; Nevatia, R.; Szekely, P. A.; Kumar, T. K. S.; Sadeghian, A.; Bergami, G.; Dutta, S.; Rodríguez, M. E.; and Wang, D. Z. In Proceedings of the 2018 Text Analysis Conference, TAC 2018, Gaithersburg, Maryland, USA, November 13-14, 2018, 2018. NIST
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System [pdf]Paper   link   bibtex  
A Pipeline for Post-Crisis Twitter Data Acquisition. Kejriwal, M.; and Gu, Y. CoRR, abs/1801.05881. 2018.
A Pipeline for Post-Crisis Twitter Data Acquisition [link]Paper   link   bibtex  
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics. Gu, Y.; and Kejriwal, M. CoRR, abs/1801.05906. 2018.
Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics [link]Paper   link   bibtex  
  2017 (17)
Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching. Kejriwal, M. Volume 27 of Studies on the Semantic WebIOS Press, 2017.
Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching [link]Paper   doi   link   bibtex  
Populating a linked data entity name system. Kejriwal, M. AI Matters, 3(2): 22–23. 2017.
Populating a linked data entity name system [link]Paper   doi   link   bibtex   2 downloads  
Scalable Generation of Type Embeddings Using the ABox. Kejriwal, M.; and Szekely, P. A. Open J. Semantic Web, 4(1): 20–34. 2017.
Scalable Generation of Type Embeddings Using the ABox [link]Paper   link   bibtex   2 downloads  
Neural Embeddings for Populated Geonames Locations. Kejriwal, M.; and Szekely, P. A. In d'Amato , C.; Fernández, M.; Tamma, V. A. M.; Lécué, F.; Cudré-Mauroux, P.; Sequeda, J. F.; Lange, C.; and Heflin, J., editor(s), The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, volume 10588, of Lecture Notes in Computer Science, pages 139–146, 2017. Springer
Neural Embeddings for Populated Geonames Locations [link]Paper   doi   link   bibtex   1 download  
An Investigative Search Engine for the Human Trafficking Domain. Kejriwal, M.; and Szekely, P. A. In d'Amato , C.; Fernández, M.; Tamma, V. A. M.; Lécué, F.; Cudré-Mauroux, P.; Sequeda, J. F.; Lange, C.; and Heflin, J., editor(s), The Semantic Web - ISWC 2017 - 16th International Semantic Web Conference, Vienna, Austria, October 21-25, 2017, Proceedings, Part II, volume 10588, of Lecture Notes in Computer Science, pages 247–262, 2017. Springer
An Investigative Search Engine for the Human Trafficking Domain [link]Paper   doi   link   bibtex   2 downloads  
A Semantic Search Engine For Investigating Human Trafficking. Kejriwal, M.; Schellenberg, T.; and Szekely, P. A. In Nikitina, N.; Song, D.; Fokoue, A.; and Haase, P., editor(s), Proceedings of the ISWC 2017 Posters & Demonstrations and Industry Tracks co-located with 16th International Semantic Web Conference (ISWC 2017), Vienna, Austria, October 23rd - to - 25th, 2017, volume 1963, of CEUR Workshop Proceedings, 2017. CEUR-WS.org
A Semantic Search Engine For Investigating Human Trafficking [pdf]Paper   link   bibtex  
Using contexts and constraints for improved geotagging of human trafficking webpages. Kapoor, R.; Kejriwal, M.; and Szekely, P. A. In Bouros, P.; and Sarwat, M., editor(s), Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, Chicago, IL, USA, May 14, 2017, pages 3:1–3:6, 2017. ACM
Using contexts and constraints for improved geotagging of human trafficking webpages [link]Paper   doi   link   bibtex  
Supervised typing of big graphs using semantic embeddings. Kejriwal, M.; and Szekely, P. A. In Groppe, S.; and Gruenwald, L., editor(s), Proceedings of The International Workshop on Semantic Big Data, SBD@SIGMOD 2017, Chicago, IL, USA, May 19, 2017, pages 3:1–3:6, 2017. ACM
Supervised typing of big graphs using semantic embeddings [link]Paper   doi   link   bibtex  
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. Kejriwal, M. In Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, DSMM@SIGMOD 2017, Chicago, IL, USA, May 14, 2017, pages 10:1–10:2, 2017. ACM
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain [link]Paper   doi   link   bibtex  
Information Extraction in Illicit Web Domains. Kejriwal, M.; and Szekely, P. A. In Barrett, R.; Cummings, R.; Agichtein, E.; and Gabrilovich, E., editor(s), Proceedings of the 26th International Conference on World Wide Web, WWW 2017, Perth, Australia, April 3-7, 2017, pages 997–1006, 2017. ACM
Information Extraction in Illicit Web Domains [link]Paper   doi   link   bibtex   1 download  
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017. Capadisli, S.; Cotton, F.; Dong, X. L.; Guha, R. V.; Haller, A.; Hitzler, P.; Kalampokis, E.; Kejriwal, M.; Lécué, F.; Sivakumar, D.; Szekely, P. A.; Troncy, R.; and Witbrock, M. J., editors. of CEUR Workshop Proceedings.CEUR-WS.org. 2017.
Joint Proceedings of the International Workshops on Hybrid Statistical Semantic Understanding and Emerging Semantics, and Semantic Statistics co-located with 16th International Semantic Web Conference, HybridSemStats@ISWC 2017, Vienna, Austria October 22nd, 2017 [link]Paper   link   bibtex  
Information Extraction in Illicit Domains. Kejriwal, M.; and Szekely, P. A. CoRR, abs/1703.03097. 2017.
Information Extraction in Illicit Domains [link]Paper   link   bibtex   2 downloads  
Supervised Typing of Big Graphs using Semantic Embeddings. Kejriwal, M.; and Szekely, P. A. CoRR, abs/1703.07805. 2017.
Supervised Typing of Big Graphs using Semantic Embeddings [link]Paper   link   bibtex  
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages. Kapoor, R.; Kejriwal, M.; and Szekely, P. A. CoRR, abs/1704.05569. 2017.
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages [link]Paper   link   bibtex  
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. Kejriwal, M. CoRR, abs/1704.05571. 2017.
Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain [link]Paper   link   bibtex  
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. Hundman, K.; Gowda, T.; Kejriwal, M.; and Boecking, B. CoRR, abs/1712.00846. 2017.
Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection [link]Paper   link   bibtex  
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. Kejriwal, M.; Ding, J.; Shao, R.; Kumar, A.; and Szekely, P. A. CoRR, abs/1712.03086. 2017.
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining [link]Paper   link   bibtex  
  2016 (5)
Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations. Kejriwal, M.; and Miranker, D. P. In Proceedings of the Second International Workshop on Data Science for Macro-Modeling, DSMM@SIGMOD 2016, San Francisco, CA, USA, June 26 - July 1, 2016, pages 17:1–17:2, 2016. ACM
Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations [link]Paper   doi   link   bibtex  
Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs. Kejriwal, M. CoRR, abs/1605.00686. 2016.
Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs [link]Paper   link   bibtex  
Self-contained NoSQL Resources for Cross-Domain RDF. Kejriwal, M.; and Miranker, D. P. CoRR, abs/1608.04437. 2016.
Self-contained NoSQL Resources for Cross-Domain RDF [link]Paper   link   bibtex   1 download  
Experience: Type alignment on DBpedia and Freebase. Kejriwal, M.; and Miranker, D. P. CoRR, abs/1608.04442. 2016.
Experience: Type alignment on DBpedia and Freebase [link]Paper   link   bibtex  
An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets. Balaji, J.; Javed, F.; Kejriwal, M.; Min, C.; Sander, S.; and Ozturk, O. CoRR, abs/1609.06265. 2016.
An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets [link]Paper   link   bibtex  
  2015 (11)
An unsupervised instance matcher for schema-free RDF data. Kejriwal, M.; and Miranker, D. P. J. Web Semant., 35: 102–123. 2015.
An unsupervised instance matcher for schema-free RDF data [link]Paper   doi   link   bibtex   1 download  
Sorted Neighborhood for the Semantic Web. Kejriwal, M. In Bonet, B.; and Koenig, S., editor(s), Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, pages 4174–4175, 2015. AAAI Press
Sorted Neighborhood for the Semantic Web [link]Paper   link   bibtex   1 download  
Entity Resolution in a Big Data Framework. Kejriwal, M. In Bonet, B.; and Koenig, S., editor(s), Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, January 25-30, 2015, Austin, Texas, USA, pages 4243–4244, 2015. AAAI Press
Entity Resolution in a Big Data Framework [link]Paper   link   bibtex   2 downloads  
A pipeline for extracting and deduplicating domain-specific knowledge bases. Kejriwal, M.; Liu, Q.; Jacob, F.; and Javed, F. In 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29 - November 1, 2015, pages 1144–1153, 2015. IEEE Computer Society
A pipeline for extracting and deduplicating domain-specific knowledge bases [link]Paper   doi   link   bibtex  
Sorted Neighborhood for Schema-free RDF Data. Kejriwal, M.; and Miranker, D. P. In Völker, J.; Paulheim, H.; Lehmann, J.; and Svátek, V., editor(s), Proceedings of the 4th Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data co-located with 12th Extended Semantic Web Conference (ESWC 2015), Portoroz, Slovenia, May 31, 2015, volume 1365, of CEUR Workshop Proceedings, 2015. CEUR-WS.org
Sorted Neighborhood for Schema-free RDF Data [pdf]Paper   link   bibtex  
Minimally Supervised Instance Matching: An Alternate Approach. Kejriwal, M.; and Miranker, D. P. In Gandon, F.; Guéret, C.; Villata, S.; Breslin, J. G.; Faron-Zucker, C.; and Zimmermann, A., editor(s), The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers, volume 9341, of Lecture Notes in Computer Science, pages 72–76, 2015. Springer
Minimally Supervised Instance Matching: An Alternate Approach [link]Paper   doi   link   bibtex  
Sorted Neighborhood for Schema-Free RDF Data. Kejriwal, M.; and Miranker, D. P. In Gandon, F.; Guéret, C.; Villata, S.; Breslin, J. G.; Faron-Zucker, C.; and Zimmermann, A., editor(s), The Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31 - June 4, 2015, Revised Selected Papers, volume 9341, of Lecture Notes in Computer Science, pages 217–229, 2015. Springer
Sorted Neighborhood for Schema-Free RDF Data [link]Paper   doi   link   bibtex  
Semi-supervised Instance Matching Using Boosted Classifiers. Kejriwal, M.; and Miranker, D. P. In Gandon, F.; Sabou, M.; Sack, H.; d'Amato , C.; Cudré-Mauroux, P.; and Zimmermann, A., editor(s), The Semantic Web. Latest Advances and New Domains - 12th European Semantic Web Conference, ESWC 2015, Portoroz, Slovenia, May 31 - June 4, 2015. Proceedings, volume 9088, of Lecture Notes in Computer Science, pages 388–402, 2015. Springer
Semi-supervised Instance Matching Using Boosted Classifiers [link]Paper   doi   link   bibtex  
Decision-Making Bias in Instance Matching Model Selection. Kejriwal, M.; and Miranker, D. P. In Arenas, M.; Corcho, Ó.; Simperl, E.; Strohmaier, M.; d'Aquin , M.; Srinivas, K.; Groth, P.; Dumontier, M.; Heflin, J.; Thirunarayan, K.; and Staab, S., editor(s), The Semantic Web - ISWC 2015 - 14th International Semantic Web Conference, Bethlehem, PA, USA, October 11-15, 2015, Proceedings, Part I, volume 9366, of Lecture Notes in Computer Science, pages 392–407, 2015. Springer
Decision-Making Bias in Instance Matching Model Selection [link]Paper   doi   link   bibtex  
A DNF Blocking Scheme Learner for Heterogeneous Datasets. Kejriwal, M.; and Miranker, D. P. CoRR, abs/1501.01694. 2015.
A DNF Blocking Scheme Learner for Heterogeneous Datasets [link]Paper   link   bibtex  
On the Complexity of Sorted Neighborhood. Kejriwal, M.; and Miranker, D. P. CoRR, abs/1501.01696. 2015.
On the Complexity of Sorted Neighborhood [link]Paper   link   bibtex  
  2014 (4)
A two-step blocking scheme learner for scalable link discovery. Kejriwal, M.; and Miranker, D. P. In Shvaiko, P.; Euzenat, J.; Mao, M.; Jiménez-Ruiz, E.; Li, J.; and Ngonga, A., editor(s), Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), Riva del Garda, Trentino, Italy, October 20, 2014, volume 1317, of CEUR Workshop Proceedings, pages 49–60, 2014. CEUR-WS.org
A two-step blocking scheme learner for scalable link discovery [pdf]Paper   link   bibtex  
On Linking Heterogeneous Dataset Collections. Kejriwal, M.; and Miranker, D. P. In Horridge, M.; Rospocher, M.; and van Ossenbruggen, J., editor(s), Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, ISWC 2014, Riva del Garda, Italy, October 21, 2014, volume 1272, of CEUR Workshop Proceedings, pages 217–220, 2014. CEUR-WS.org
On Linking Heterogeneous Dataset Collections [pdf]Paper   link   bibtex  
Populating Entity Name Systems for Big Data Integration. Kejriwal, M. In Mika, P.; Tudorache, T.; Bernstein, A.; Welty, C.; Knoblock, C. A.; Vrandecic, D.; Groth, P.; Noy, N. F.; Janowicz, K.; and Goble, C. A., editor(s), The Semantic Web - ISWC 2014 - 13th International Semantic Web Conference, Riva del Garda, Italy, October 19-23, 2014. Proceedings, Part II, volume 8797, of Lecture Notes in Computer Science, pages 521–528, 2014. Springer
Populating Entity Name Systems for Big Data Integration [link]Paper   doi   link   bibtex   2 downloads  
Schema matching over relations, attributes, and data values. Tian, A.; Kejriwal, M.; and Miranker, D. P. In Jensen, C. S.; Lu, H.; Pedersen, T. B.; Thomsen, C.; and Torp, K., editor(s), Conference on Scientific and Statistical Database Management, SSDBM '14, Aalborg, Denmark, June 30 - July 02, 2014, pages 28:1–28:12, 2014. ACM
Schema matching over relations, attributes, and data values [link]Paper   doi   link   bibtex  
  2013 (2)
An Unsupervised Algorithm for Learning Blocking Schemes. Kejriwal, M.; and Miranker, D. P. In Xiong, H.; Karypis, G.; Thuraisingham, B. M.; Cook, D. J.; and Wu, X., editor(s), 2013 IEEE 13th International Conference on Data Mining, Dallas, TX, USA, December 7-10, 2013, pages 340–349, 2013. IEEE Computer Society
An Unsupervised Algorithm for Learning Blocking Schemes [link]Paper   doi   link   bibtex   4 downloads  
Extended scaled neural predictor for improved branch prediction. Zhou, Z.; Kejriwal, M.; and Miikkulainen, R. In The 2013 International Joint Conference on Neural Networks, IJCNN 2013, Dallas, TX, USA, August 4-9, 2013, pages 1–7, 2013. IEEE
Extended scaled neural predictor for improved branch prediction [link]Paper   doi   link   bibtex   1 download  
  2012 (4)
A framework to access handwritten information within large digitized paper collections. Diesendruck, L.; Marini, L.; Kooper, R.; Kejriwal, M.; and McHenry, K. In 8th IEEE International Conference on E-Science, e-Science 2012, Chicago, IL, USA, October 8-12, 2012, pages 1–10, 2012. IEEE Computer Society
A framework to access handwritten information within large digitized paper collections [link]Paper   doi   link   bibtex  
Digitization and search: A non-traditional use of HPC. Diesendruck, L.; Marini, L.; Kooper, R.; Kejriwal, M.; and McHenry, K. In 8th IEEE International Conference on E-Science, e-Science 2012, Chicago, IL, USA, October 8-12, 2012, pages 1–6, 2012. IEEE Computer Society
Digitization and search: A non-traditional use of HPC [link]Paper   doi   link   bibtex  
Abstract: Digitization and Search: A Non-Traditional Use of HPC. Diesendruck, L.; Marini, L.; Kooper, R.; Kejriwal, M.; and McHenry, K. In 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, Salt Lake City, UT, USA, November 10-16, 2012, pages 1460–1461, 2012. IEEE Computer Society
Abstract: Digitization and Search: A Non-Traditional Use of HPC [link]Paper   doi   link   bibtex  
Poster: Digitization and Search: A Non-Traditional Use of HPC. Diesendruck, L.; Marini, L.; Kooper, R.; Kejriwal, M.; and McHenry, K. In 2012 SC Companion: High Performance Computing, Networking Storage and Analysis, Salt Lake City, UT, USA, November 10-16, 2012, pages 1462, 2012. IEEE Computer Society
Poster: Digitization and Search: A Non-Traditional Use of HPC [link]Paper   doi   link   bibtex  

COURSES

ISE 540: Text Analytics (Fall 2020, 2021, 2022, 2023)

ISE 599: Applied Predictive Analytics (Fall 2019)

CSCI 548: Information Integration on the Web (Fall 2016; co-taught with Jose Luis Ambite)

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