Mayank Kejriwal

164 papers A* 10B 14C 1Journal 88Unranked 43

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Deployed Investigative AI Search Engine for Combating Human Trafficking at Web Scale. AAAI Mayank Kejriwal
2026	J	`jnl`	Beyond the Star Rating: A Scalable Framework for Aspect-Based Sentiment Analysis Using LLMs and Text Classification. CoRR Vishal Patil, Shree Vaishnavi Bacha, Revanth Yamani, Yidan Sun, Mayank Kejriwal
2026	J	`jnl`	Characterizing Robustness of Strategies to Novelty in Zero-Sum Open Worlds. CoRR Mayank Kejriwal, Shilpa Thomas, Hongyu Li
2026	J	`jnl`	Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations. CoRR Ashwath Vaithinathan Aravindan, Mayank Kejriwal
2026	J	`jnl`	Structural shifts in institutional participation and collaboration within the AI arXiv preprint research ecosystem. CoRR Shama Maganur, Mayank Kejriwal
2025	J	`jnl`	A Q-Learning Novelty Search Strategy for Evaluating Robustness of Deep Reinforcement Learning in Open-World Environments. IEEE Intell. Syst. Shafkat Islam, Min-Hsueh Chiu, Trevor Bonjour, Ruy de Oliveira, Bharat K. Bhargava, Mayank Kejriwal
2025	J	`jnl`	Code-Driven Planning in Grid Worlds with Large Language Models. CoRR Ashwath Vaithinathan Aravindan, Zhisheng Tang, Mayank Kejriwal
2025	—	`conf`	Commonsense AI in the History of the Web. WWW (Companion Volume) Mayank Kejriwal, Deborah L. McGuinness, Henry Lieberman
2025	J	`jnl`	Defining and evaluating decision and composite risk in language models applied to natural language inference. Eng. Appl. Artif. Intell. Ke Shen, Mayank Kejriwal
2025	J	`jnl`	Designing Semantic Computing for Social Good Applications with Long Tails. Int. J. Semantic Comput. Mayank Kejriwal
2025	J	`jnl`	Generating Novelty in Open-World Multi-Agent Strategic Board Games. CoRR Mayank Kejriwal, Shilpa Thomas
2025	—	`conf`	HealthEQKG: A Knowledge Graph and Data Model for Health Equity Research. ISWC (2) Navapat Nananukul, Mayank Kejriwal
2025	J	`jnl`	LOGicalThought: Logic-Based Ontological Grounding of LLMs for High-Assurance Reasoning. CoRR Navapat Nananukul, Yue Zhang, Ryan Lee, Eric Boxer, Jonathan May, Vibhav Giridhar Gogate, Jay Pujara, Mayank Kejriwal
2025	J	`jnl`	Modeling Inequality in Complex Networks of Strategic Agents using Iterative Game-Theoretic Transactions. CoRR Mayank Kejriwal, Yuesheng Luo
2025	—	`conf`	Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning. WWW (Companion Volume) Cole Gawin, Yidan Sun, Mayank Kejriwal
2025	J	`jnl`	Navigating Semantic Relations: Challenges for Language Models in Abstract Common-Sense Reasoning. CoRR Cole Gawin, Yidan Sun, Mayank Kejriwal
2025	—	`conf`	Ontological Modeling of Drug Trafficking in the Global South Using Newspaper Data. ESWC (Satellite Events) Sanju Tiwari, Mayank Kejriwal, Nandana Mihindukulasooriya
2024	A*	`conf`	A Semantic Search Engine for Helping Patients Find Doctors and Locations in a Large Healthcare Organization. SIGIR Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
2024	J	`jnl`	A Theoretically Grounded Question Answering Data Set for Evaluating Machine Common Sense. Data Intell. Henrique Santos, Ke Shen, Alice M. Mulvehill, Mayank Kejriwal, Deborah L. McGuinness
2024	J	`jnl`	Advancing computational sustainability in higher education. Nat. Comput. Sci. Mayank Kejriwal, Victoria Petryshyn
2024	J	`jnl`	An Evaluation of Estimative Uncertainty in Large Language Models. CoRR Zhisheng Tang, Ke Shen, Mayank Kejriwal
2024	J	`jnl`	Challenges, evaluation and opportunities for open-world learning. Nat. Mac. Intell. Mayank Kejriwal, Eric J. Kildebeck, Robert J. Steininger, Abhinav Shrivastava
2024	J	`jnl`	Cost-efficient prompt engineering for unsupervised entity resolution in the product matching domain. Discov. Artif. Intell. Navapat Nananukul, Khanin Sisaengsuwanchai, Mayank Kejriwal
2024	J	`jnl`	Defining and Evaluating Decision and Composite Risk in Language Models Applied to Natural Language Inference. CoRR Ke Shen, Mayank Kejriwal
2024	—	`conf`	Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges. ICSC Mayank Kejriwal
2024	J	`jnl`	GRASP: A Grid-Based Benchmark for Evaluating Commonsense Spatial Reasoning. CoRR Zhisheng Tang, Mayank Kejriwal
2024	J	`jnl`	Humanlike Cognitive Patterns as Emergent Phenomena in Large Language Models. CoRR Zhisheng Tang, Mayank Kejriwal
2024	B	`conf`	Influence Role Recognition and LLM-Based Scholar Recommendation in Academic Social Networks. DSAA Xiyao Cheng, Lakshmi Srinivas Edara, Yuanxun Zhang, Mayank Kejriwal, Prasad Calyam
2024	J	`jnl`	Is persona enough for personality? Using ChatGPT to reconstruct an agent's latent personality from simple descriptions. CoRR Yongyi Ji, Zhisheng Tang, Mayank Kejriwal
2024	—	`ed.`	Joint proceedings of the 3rd International workshop on knowledge graph generation from text (TEXT2KG) and Data Quality meets Machine Learning and Knowledge Graphs (DQMLKG) co-located with the Extended Semantic Web Conference ( ESWC 2024), Hersonissos, Greece, May 26-30, 2024. TEXT2KG/DQMLKG@ESWC Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Maria Angela Pellegrino, Anisa Rula, José Emilio Labra Gayo, Michael Cochez, Mehwish Alam
2024	J	`jnl`	Modeling and Simulating Agent-Based City Migration Using Conway's Game of Life. CoRR Bruce Deng, Mayank Kejriwal
2024	A*	`conf`	Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract). AAAI Adin Aberbach, Mayank Kejriwal, Ke Shen
2024	J	`jnl`	SelECT-SQL: Self-correcting ensemble Chain-of-Thought for Text-to-SQL. CoRR Ke Shen, Mayank Kejriwal
2023	J	`jnl`	A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores. CoRR Ke Shen, Mayank Kejriwal
2023	J	`jnl`	A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain. CoRR Mayank Kejriwal, Hamid Haidarian, Min-Hsueh Chiu, Andy Xiang, Deep Shrestha, Faizan Javed
2023	—	`conf`	A Model and Structural Analysis of Networked Bitcoin Transaction Flows. COMPLEX NETWORKS (3) Min-Hsueh Chiu, Mayank Kejriwal
2023	J	`jnl`	A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning. CoRR Zhisheng Tang, Mayank Kejriwal
2023	B	`conf`	A structural study of Big Tech firm-switching of inventors in the post-recession era. ASONAM Yidan Sun, Mayank Kejriwal
2023	J	`jnl`	A structural study of Big Tech firm-switching of inventors in the post-recession era. CoRR Yidan Sun, Mayank Kejriwal
2023	—	`conf`	An Analytical Approximation of Simplicial Complex Distributions in Communication Networks. COMPLEX NETWORKS (4) Ke Shen, Mayank Kejriwal
2023	J	`jnl`	An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks. Expert Syst. J. Knowl. Eng. Ke Shen, Mayank Kejriwal
2023	—	`book`	Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google Mayank Kejriwal
2023	—	`conf`	Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study. KGSWC Xinyu Liu, Tiancheng Sun, Diantian Fu, Zijue Li, Sheng Qian, Ruyue Meng, Mayank Kejriwal
2023	—	`conf`	Can Language Models Be Used in Multistep Commonsense Planning Domains? AGI Zhisheng Tang, Mayank Kejriwal
2023	—	`conf`	Context-Rich Evaluation of Machine Common Sense. AGI Mayank Kejriwal, Henrique Santos, Ke Shen, Alice M. Mulvehill, Deborah L. McGuinness
2023	B	`conf`	DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space. ASONAM Yidan Sun, Mayank Kejriwal
2023	J	`jnl`	Evaluating deep generative models on cognitive tasks: a case study. Discov. Artif. Intell. Zhisheng Tang, Mayank Kejriwal
2023	J	`jnl`	HALO: An Ontology for Representing Hallucinations in Generative Models. CoRR Navapat Nananukul, Mayank Kejriwal
2023	J	`jnl`	How does prompt engineering affect ChatGPT performance on unsupervised entity resolution? CoRR Khanin Sisaengsuwanchai, Navapat Nananukul, Mayank Kejriwal
2023	—	`ed.`	Joint Proceedings of the Second International Workshop on Knowledge Graph Generation From Text and the First International BiKE Challenge co-located with 20th Extended Semantic Conference (ESWC 2023), Hersonissos, Greece, May 29th, 2023. TEXT2KG/BiKE@ESWC Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Edgard Marx
2023	B	`conf`	Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks. DSAA Xiyao Cheng, Yuanxun Zhang, Harsh Joshi, Mayank Kejriwal, Prasad Calyam
2023	J	`jnl`	Named Entity Resolution in Personal Knowledge Graphs. CoRR Mayank Kejriwal
2023	—	`conf`	Substructure Discovery in Commonsense Relations Using Graph Representation Learning. IntelliSys (1) Ke Shen, Mayank Kejriwal
2023	J	`jnl`	Toward Defining a Domain Complexity Measure Across Domains. CoRR Katarina Doctor, Christine Task, Eric J. Kildebeck, Mayank Kejriwal, Lawrence Holder, Russell Leong
2023	—	`conf`	Towards a Domain-Agnostic Knowledge Graph-as-a-Service Infrastructure for Active Cyber Defense with Intelligent Agents. AIPR Prasad Calyam, Mayank Kejriwal, Praveen Rao, Jianlin Cheng, Weichao Wang, Linquan Bai, V. Sriram Siddhardh Nadendla, Sanjay Madria, Sajal K. Das, Rohit Chadha, Khaza Anuarul Hoque, Kannappan Palaniappan, Kiran Neupane, Roshan Lal Neupane, Sankeerth Gandhari, Mukesh Singhal, Lotfi Ben Othmane, Meng Yu, Vijay Anand, Bharat K. Bhargava, Brett Robertson, Kerk F. Kee, Patrice Buzzanell, Natalie A. Bolton, Harsh Taneja
2023	J	`jnl`	Understanding and Estimating Domain Complexity Across Domains. CoRR Katarina Doctor, Mayank Kejriwal, Lawrence Holder, Eric J. Kildebeck, Emma Resmini, Christopher Pereyda, Robert J. Steininger, Daniel V. Olivença
2022	J	`jnl`	A Theoretically Grounded Benchmark for Evaluating Machine Commonsense. CoRR Henrique Santos, Ke Shen, Alice M. Mulvehill, Yasaman Razeghi, Deborah L. McGuinness, Mayank Kejriwal
2022	J	`jnl`	Can Language Representation Models Think in Bets? CoRR Zhisheng Tang, Mayank Kejriwal
2022	J	`jnl`	Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks? CoRR Mayank Kejriwal, Ke Shen
2022	J	`jnl`	Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach. IEEE Trans. Emerg. Top. Comput. Intell. Trevor Bonjour, Marina Haliem, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Mayank Kejriwal, Bharat K. Bhargava
2022	J	`jnl`	Designing a strong test for measuring true common-sense reasoning. Nat. Mach. Intell. Mayank Kejriwal, Henrique Santos, Alice M. Mulvehill, Deborah L. McGuinness
2022	B	`conf`	Evaluating Language Representation Models on Approximately Rational Decision Making Problems. CogSci Mayank Kejriwal, Zhisheng Tang
2022	J	`jnl`	Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. IEEE Trans. Big Data Mayank Kejriwal, Pedro A. Szekely
2022	J	`jnl`	Knowledge Graphs: A Practical Review of the Research Landscape. Inf. Mayank Kejriwal
2022	J	`jnl`	Measuring spatio-textual affinities in twitter between two urban metropolises. J. Comput. Soc. Sci. Minda Hu, Mayank Kejriwal
2022	—	`conf`	On the Empirical Association Between Trade Network Complexity and Global Gross Domestic Product. COMPLEX NETWORKS (1) Mayank Kejriwal, Yuesheng Luo
2022	J	`jnl`	On the Empirical Association between Trade Network Complexity and Global Gross Domestic Product. CoRR Mayank Kejriwal, Yuesheng Luo
2022	—	`ed.`	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. TEXT2KG/MK@ESWC Sanju Tiwari, Nandana Mihindukulasooriya, Francesco Osborne, Dimitris Kontokostas, Jennifer D'Souza, Mayank Kejriwal, Loris Bozzato, Valentina Anita Carriero, Torsten Hahmann, Antoine Zimmermann
2022	J	`jnl`	Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing. CoRR Akarsh Nagaraj, Mayank Kejriwal
2022	J	`jnl`	Transfer-based taxonomy induction over concept labels. Eng. Appl. Artif. Intell. Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
2022	—	`conf`	Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter. SAI (1) Yuesheng Luo, Mayank Kejriwal
2022	J	`jnl`	Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes. CoRR Ke Shen, Mayank Kejriwal
2022	J	`jnl`	Understanding Substructures in Commonsense Relations in ConceptNet. CoRR Ke Shen, Mayank Kejriwal
2021	—	`conf`	A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data. SSCI Mayank Kejriwal, Ge Fang, Ying Zhou
2021	J	`jnl`	A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period. Data Sara Melotte, Mayank Kejriwal
2021	J	`jnl`	A meta-engine for building domain-specific search engines. Softw. Impacts Mayank Kejriwal
2021	J	`jnl`	A multi-agent simulator for generating novelty in monopoly. Simul. Model. Pract. Theory Mayank Kejriwal, Shilpa Thomas
2021	J	`jnl`	An empirical study of emoji usage on Twitter in linguistic and national contexts. Online Soc. Networks Media Mayank Kejriwal, Qile Wang, Hongyu Li, Lu Wang
2021	J	`jnl`	An evaluation and annotation methodology for product category matching in e-commerce. Comput. Ind. Mayank Kejriwal, Ke Shen, Chien-Chun Ni, Nicolas Torzec
2021	A*	`conf`	Empirical Best Practices On Using Product-Specific Schema.org. AAAI Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
2021	J	`jnl`	Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach. CoRR Marina Haliem, Trevor Bonjour, Aala Oqab Alsalem, Shilpa Thomas, Hongyu Li, Vaneet Aggarwal, Bharat K. Bhargava, Mayank Kejriwal
2021	J	`jnl`	Link Prediction Between Structured Geopolitical Events: Models and Experiments. Frontiers Big Data Mayank Kejriwal
2021	—	`conf`	On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models. SGAI Conf. Ke Shen, Mayank Kejriwal
2021	J	`jnl`	Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets. CoRR Sara Melotte, Mayank Kejriwal
2021	J	`jnl`	Socioeconomic Correlates of Anti-Science Attitudes in the US. Future Internet Minda Hu, Ashwin Rao, Mayank Kejriwal, Kristina Lerman
2021	J	`jnl`	Understanding COVID-19 Vaccine Reaction through Comparative Analysis on Twitter. CoRR Yuesheng Luo, Mayank Kejriwal
2021	J	`jnl`	Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables. Inf. Mayank Kejriwal
2021	B	`conf`	Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts. ASONAM Mayank Kejriwal, Ke Shen
2020	J	`jnl`	A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base. CoRR Ke Shen, Mayank Kejriwal
2020	J	`jnl`	An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction. CoRR Jiayuan Ding, Mayank Kejriwal
2020	J	`jnl`	Do Fine-tuned Commonsense Language Models Really Generalize? CoRR Mayank Kejriwal, Ke Shen
2020	B	`conf`	Locally Constructing Product Taxonomies from Scratch Using Representation Learning. ASONAM Mayank Kejriwal, Ravi Kiran Selvam, Chien-Chun Ni, Nicolas Torzec
2020	J	`jnl`	Network-theoretic modeling of complex activity using UK online sex advertisements. Appl. Netw. Sci. Mayank Kejriwal, Yao Gu
2020	J	`jnl`	On detecting urgency in short crisis messages using minimal supervision and transfer learning. Soc. Netw. Anal. Min. Mayank Kejriwal, Peilin Zhou
2020	J	`jnl`	On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices. CoRR Ravi Kiran Selvam, Mayank Kejriwal
2020	J	`jnl`	Structural studies of the global networks exposed in the Panama papers. Appl. Netw. Sci. Mayank Kejriwal, Akarsh Dang
2019	—	`conf`	Co-LOD: Continuous Space Linked Open Data. ISWC (Satellites) Mayank Kejriwal, Pedro A. Szekely
2019	B	`conf`	Concept drift in bias and sensationalism detection: an experimental study. ASONAM Shuo Zhang, Mayank Kejriwal
2019	—	`book`	Domain-Specific Knowledge Graph Construction Mayank Kejriwal
2019	A*	`conf`	Expert-Guided Entity Extraction using Expressive Rules. SIGIR Mayank Kejriwal, Runqi Shao, Pedro A. Szekely
2019	J	`jnl`	Knowledge graphs: Construction, management and querying. Semantic Web Mayank Kejriwal, Juan F. Sequeda, Vanessa López
2019	B	`conf`	Low-supervision urgency detection and transfer in short crisis messages. ASONAM Mayank Kejriwal, Peilin Zhou
2019	J	`jnl`	Low-supervision urgency detection and transfer in short crisis messages. CoRR Mayank Kejriwal, Peilin Zhou
2019	J	`jnl`	Network-theoretic information extraction quality assessment in the human trafficking domain. Appl. Netw. Sci. Mayank Kejriwal, Rahul Kapoor
2019	B	`ed.`	Proceedings of the 10th International Conference on Knowledge Capture, K-CAP 2019, Marina Del Rey, CA, USA, November 19-21, 2019. K-CAP Mayank Kejriwal, Pedro A. Szekely, Raphaël Troncy
2019	B	`conf`	SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data. ASONAM Mayank Kejriwal, Peilin Zhou
2019	—	`conf`	Unsupervised Product Entity Resolution using Graph Representation Learning. eCOM@SIGIR Mozhdeh Gheini, Mayank Kejriwal
2019	J	`jnl`	myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. Future Internet Mayank Kejriwal, Pedro A. Szekely
2018	J	`jnl`	A Pipeline for Post-Crisis Twitter Data Acquisition. CoRR Mayank Kejriwal, Yao Gu
2018	C	`conf`	Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. AIES Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking
2018	—	`conf`	BigNet 2018 Chairs' Welcome & Organization. WWW (Companion Volume) Jie Tang, Michalis Vazirgiannis, Yuxiao Dong, Fragkiskos D. Malliaros, Michael Cochez, Mayank Kejriwal, Achim Rettinger
2018	A*	`conf`	Constructing Domain-Specific Search Engines With No Programming. AAAI Mayank Kejriwal, Pedro A. Szekely
2018	—	`conf`	Domain-specific Insight Graphs (DIG). WWW (Companion Volume) Pedro A. Szekely, Mayank Kejriwal
2018	—	`conf`	GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC Tongtao Zhang, Ananya Subburathinam, Ge Shi, Lifu Huang, Di Lu, Xiaoman Pan, Manling Li, Boliang Zhang, Qingyun Wang, Spencer Whitehead, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Ruiqi Zhong, Steven Shao, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Dongyu Li, Xin Huang, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Mayank Kejriwal, Ram Nevatia, Pedro A. Szekely, T. K. Satish Kumar, Ali Sadeghian, Giacomo Bergami, Sourav Dutta, Miguel E. Rodríguez, Daisy Zhe Wang
2018	J	`jnl`	How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls. Computer Daye Nam, Mayank Kejriwal
2018	J	`jnl`	Investigative Knowledge Discovery for Combating Illicit Activities. IEEE Intell. Syst. Mayank Kejriwal, Pedro A. Szekely, Craig A. Knoblock
2018	—	`ed.`	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. DL4KGS@ESWC Michael Cochez, Thierry Declerck, Gerard de Melo, Luis Espinosa Anke, Besnik Fetahu, Dagmar Gromann, Mayank Kejriwal, Maria Koutraki, Freddy Lécué, Enrico Palumbo, Harald Sack
2018	—	`conf`	Structured Event Entity Resolution in Humanitarian Domains. ISWC (1) Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro A. Szekely
2018	—	`conf`	THOR: Text-enabled Analytics for Humanitarian Operations. WWW (Companion Volume) Mayank Kejriwal, Daniel Gilley, Pedro A. Szekely, Jill Crisman
2018	—	`conf`	Technology-assisted Investigative Search: A Case Study from an Illicit Domain. CHI Extended Abstracts Mayank Kejriwal, Pedro A. Szekely
2018	J	`jnl`	Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics. CoRR Yao Gu, Mayank Kejriwal
2017	—	`conf`	A Semantic Search Engine For Investigating Human Trafficking. ISWC (Posters, Demos & Industry Tracks) Mayank Kejriwal, Thomas Schellenberg, Pedro A. Szekely
2017	J	`jnl`	Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection. CoRR Kyle Hundman, Thamme Gowda, Mayank Kejriwal, Benedikt Boecking
2017	—	`conf`	An Investigative Search Engine for the Human Trafficking Domain. ISWC (2) Mayank Kejriwal, Pedro A. Szekely
2017	J	`jnl`	FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. CoRR Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely
2017	J	`jnl`	Information Extraction in Illicit Domains. CoRR Mayank Kejriwal, Pedro A. Szekely
2017	A*	`conf`	Information Extraction in Illicit Web Domains. WWW Mayank Kejriwal, Pedro A. Szekely
2017	—	`ed.`	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 HybridSemStats@ISWC Sarven Capadisli, Franck Cotton, Xin Luna Dong, Ramanathan V. Guha, Armin Haller, Pascal Hitzler, Evangelos Kalampokis, Mayank Kejriwal, Freddy Lécué, D. Sivakumar, Pedro A. Szekely, Raphaël Troncy, Michael Witbrock
2017	—	`conf`	Neural Embeddings for Populated Geonames Locations. ISWC (2) Mayank Kejriwal, Pedro A. Szekely
2017	—	`book`	Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching Mayank Kejriwal
2017	J	`jnl`	Populating a linked data entity name system. AI Matters Mayank Kejriwal
2017	—	`conf`	Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. DSMM@SIGMOD Mayank Kejriwal
2017	J	`jnl`	Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain. CoRR Mayank Kejriwal
2017	J	`jnl`	Scalable Generation of Type Embeddings Using the ABox. Open J. Semantic Web Mayank Kejriwal, Pedro A. Szekely
2017	J	`jnl`	Supervised Typing of Big Graphs using Semantic Embeddings. CoRR Mayank Kejriwal, Pedro A. Szekely
2017	—	`conf`	Supervised typing of big graphs using semantic embeddings. SBD@SIGMOD Mayank Kejriwal, Pedro A. Szekely
2017	J	`jnl`	Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages. CoRR Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
2017	—	`conf`	Using contexts and constraints for improved geotagging of human trafficking webpages. GeoRich@SIGMOD Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
2016	J	`jnl`	An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets. CoRR Janani Balaji, Faizan Javed, Mayank Kejriwal, Chris Min, Sam Sander, Ozgur Ozturk
2016	J	`jnl`	Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs. CoRR Mayank Kejriwal
2016	J	`jnl`	Experience: Type alignment on DBpedia and Freebase. CoRR Mayank Kejriwal, Daniel P. Miranker
2016	—	`conf`	Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations. DSMM@SIGMOD Mayank Kejriwal, Daniel P. Miranker
2016	J	`jnl`	Self-contained NoSQL Resources for Cross-Domain RDF. CoRR Mayank Kejriwal, Daniel P. Miranker
2015	J	`jnl`	A DNF Blocking Scheme Learner for Heterogeneous Datasets. CoRR Mayank Kejriwal, Daniel P. Miranker
2015	—	`conf`	A pipeline for extracting and deduplicating domain-specific knowledge bases. IEEE BigData Mayank Kejriwal, Qiaoling Liu, Ferosh Jacob, Faizan Javed
2015	J	`jnl`	An unsupervised instance matcher for schema-free RDF data. J. Web Semant. Mayank Kejriwal, Daniel P. Miranker
2015	—	`conf`	Decision-Making Bias in Instance Matching Model Selection. ISWC (1) Mayank Kejriwal, Daniel P. Miranker
2015	A*	`conf`	Entity Resolution in a Big Data Framework. AAAI Mayank Kejriwal
2015	—	`conf`	Minimally Supervised Instance Matching: An Alternate Approach. ESWC (Satellite Events) Mayank Kejriwal, Daniel P. Miranker
2015	J	`jnl`	On the Complexity of Sorted Neighborhood. CoRR Mayank Kejriwal, Daniel P. Miranker
2015	B	`conf`	Semi-supervised Instance Matching Using Boosted Classifiers. ESWC Mayank Kejriwal, Daniel P. Miranker
2015	—	`conf`	Sorted Neighborhood for Schema-Free RDF Data. ESWC (Satellite Events) Mayank Kejriwal, Daniel P. Miranker
2015	—	`conf`	Sorted Neighborhood for Schema-free RDF Data. KNOW@LOD Mayank Kejriwal, Daniel P. Miranker
2015	A*	`conf`	Sorted Neighborhood for the Semantic Web. AAAI Mayank Kejriwal
2014	—	`conf`	A two-step blocking scheme learner for scalable link discovery. OM Mayank Kejriwal, Daniel P. Miranker
2014	—	`conf`	On Linking Heterogeneous Dataset Collections. ISWC (Posters & Demos) Mayank Kejriwal, Daniel P. Miranker
2014	—	`conf`	Populating Entity Name Systems for Big Data Integration. ISWC (2) Mayank Kejriwal
2014	B	`conf`	Schema matching over relations, attributes, and data values. SSDBM Aibo Tian, Mayank Kejriwal, Daniel P. Miranker
2013	A*	`conf`	An Unsupervised Algorithm for Learning Blocking Schemes. ICDM Mayank Kejriwal, Daniel P. Miranker
2013	B	`conf`	Extended scaled neural predictor for improved branch prediction. IJCNN Zihao Zhou, Mayank Kejriwal, Risto Miikkulainen
2012	—	`conf`	A framework to access handwritten information within large digitized paper collections. eScience Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry
2012	—	`conf`	Abstract: Digitization and Search: A Non-Traditional Use of HPC. SC Companion Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry
2012	—	`conf`	Digitization and search: A non-traditional use of HPC. eScience Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry
2012	—	`conf`	Poster: Digitization and Search: A Non-Traditional Use of HPC. SC Companion Liana Diesendruck, Luigi Marini, Rob Kooper, Mayank Kejriwal, Kenton McHenry