Mayank Kejriwal

Orcid: 0000-0001-5988-8305

According to our database1, Mayank Kejriwal authored at least 117 papers between 2012 and 2024.

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Bibliography

2024
Designing Social Good Semantic Computing Architectures for the Long Tail: Case Studies, Evaluation, and Challenges.
Proceedings of the 18th IEEE International Conference on Semantic Computing, 2024

Multipartite Entity Resolution: Motivating a K-Tuple Perspective (Student Abstract).
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
An experimental study measuring the generalization of fine-tuned language representation models across commonsense reasoning benchmarks.
Expert Syst. J. Knowl. Eng., June, 2023

Evaluating deep generative models on cognitive tasks: a case study.
Discov. Artif. Intell., 2023

Understanding and Estimating Domain Complexity Across Domains.
CoRR, 2023

HALO: An Ontology for Representing Hallucinations in Generative Models.
CoRR, 2023

How does prompt engineering affect ChatGPT performance on unsupervised entity resolution?
CoRR, 2023

A Knowledge Graph-Based Search Engine for Robustly Finding Doctors and Locations in the Healthcare Domain.
CoRR, 2023

A Formalism and Approach for Improving Robustness of Large Language Models Using Risk-Adjusted Confidence Scores.
CoRR, 2023

Named Entity Resolution in Personal Knowledge Graphs.
CoRR, 2023

Toward Defining a Domain Complexity Measure Across Domains.
CoRR, 2023

A Pilot Evaluation of ChatGPT and DALL-E 2 on Decision Making and Spatial Reasoning.
CoRR, 2023

Automatic Semantic Typing of Pet E-commerce Products Using Crowdsourced Reviews: An Experimental Study.
Proceedings of the Knowledge Graphs and Semantic Web, 2023

Knowledge Graph-based Embedding for Connecting Scholars in Academic Social Networks.
Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

A Model and Structural Analysis of Networked Bitcoin Transaction Flows.
Proceedings of the Complex Networks & Their Applications XII, 2023

An Analytical Approximation of Simplicial Complex Distributions in Communication Networks.
Proceedings of the Complex Networks & Their Applications XII, 2023

A structural study of Big Tech firm-switching of inventors in the post-recession era.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023

DeepGraph: Multi-Cluster Interactive Visualization of Complex Networks in a Learned Representation Space.
Proceedings of the International Conference on Advances in Social Networks Analysis and Mining, 2023


Can Language Models Be Used in Multistep Commonsense Planning Domains?
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Context-Rich Evaluation of Machine Common Sense.
Proceedings of the Artificial General Intelligence - 16th International Conference, 2023

Artificial Intelligence for Industries of the Future - Beyond Facebook, Amazon, Microsoft and Google
Springer, ISBN: 978-3-031-19038-4, 2023

2022
Measuring spatio-textual affinities in twitter between two urban metropolises.
J. Comput. Soc. Sci., May, 2022

Decision Making in Monopoly Using a Hybrid Deep Reinforcement Learning Approach.
IEEE Trans. Emerg. Top. Comput. Intell., 2022

Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain.
IEEE Trans. Big Data, 2022

Designing a strong test for measuring true common-sense reasoning.
Nat. Mach. Intell., 2022

Knowledge Graphs: A Practical Review of the Research Landscape.
Inf., 2022

Transfer-based taxonomy induction over concept labels.
Eng. Appl. Artif. Intell., 2022

Can Language Representation Models Think in Bets?
CoRR, 2022

Understanding Substructures in Commonsense Relations in ConceptNet.
CoRR, 2022

Understanding Prior Bias and Choice Paralysis in Transformer-based Language Representation Models through Four Experimental Probes.
CoRR, 2022

Robust Quantification of Gender Disparity in Pre-Modern English Literature using Natural Language Processing.
CoRR, 2022

A Theoretically Grounded Benchmark for Evaluating Machine Commonsense.
CoRR, 2022

Can Scale-free Network Growth with Triad Formation Capture Simplicial Complex Distributions in Real Communication Networks?
CoRR, 2022

Understanding COVID-19 Vaccine Reaction Through Comparative Analysis on Twitter.
Proceedings of the Intelligent Computing, 2022

On the Empirical Association Between Trade Network Complexity and Global Gross Domestic Product.
Proceedings of the Complex Networks and Their Applications XI, 2022

2021
A multi-agent simulator for generating novelty in monopoly.
Simul. Model. Pract. Theory, 2021

A meta-engine for building domain-specific search engines.
Softw. Impacts, 2021

An empirical study of emoji usage on Twitter in linguistic and national contexts.
Online Soc. Networks Media, 2021

Unsupervised DNF Blocking for Efficient Linking of Knowledge Graphs and Tables.
Inf., 2021

Socioeconomic Correlates of Anti-Science Attitudes in the US.
Future Internet, 2021

Link Prediction Between Structured Geopolitical Events: Models and Experiments.
Frontiers Big Data, 2021

A Geo-Tagged COVID-19 Twitter Dataset for 10 North American Metropolitan Areas over a 255-Day Period.
Data, 2021

Predicting Zip Code-Level Vaccine Hesitancy in US Metropolitan Areas Using Machine Learning Models on Public Tweets.
CoRR, 2021

Learning Monopoly Gameplay: A Hybrid Model-Free Deep Reinforcement Learning and Imitation Learning Approach.
CoRR, 2021

An evaluation and annotation methodology for product category matching in e-commerce.
Comput. Ind., 2021

A Feasibility Study of Open-Source Sentiment Analysis and Text Classification Systems on Disaster-Specific Social Media Data.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

On the Generalization Abilities of Fine-Tuned Commonsense Language Representation Models.
Proceedings of the Artificial Intelligence XXXVIII, 2021

Unsupervised real-time induction and interactive visualization of taxonomies over domain-specific concepts.
Proceedings of the ASONAM '21: International Conference on Advances in Social Networks Analysis and Mining, Virtual Event, The Netherlands, November 8, 2021

Empirical Best Practices On Using Product-Specific Schema.org.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
On detecting urgency in short crisis messages using minimal supervision and transfer learning.
Soc. Netw. Anal. Min., 2020

A Data-Driven Study of Commonsense Knowledge using the ConceptNet Knowledge Base.
CoRR, 2020

Do Fine-tuned Commonsense Language Models Really Generalize?
CoRR, 2020

An Experimental Study of The Effects of Position Bias on Emotion CauseExtraction.
CoRR, 2020

On using Product-Specific Schema.org from Web Data Commons: An Empirical Set of Best Practices.
CoRR, 2020

Network-theoretic modeling of complex activity using UK online sex advertisements.
Appl. Netw. Sci., 2020

Structural studies of the global networks exposed in the Panama papers.
Appl. Netw. Sci., 2020

Locally Constructing Product Taxonomies from Scratch Using Representation Learning.
Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2020

2019
Domain-Specific Knowledge Graph Construction
Springer Briefs in Computer Science, Springer, ISBN: 978-3-030-12374-1, 2019

Knowledge graphs: Construction, management and querying.
Semantic Web, 2019

myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming.
Future Internet, 2019

Network-theoretic information extraction quality assessment in the human trafficking domain.
Appl. Netw. Sci., 2019

Expert-Guided Entity Extraction using Expressive Rules.
Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, 2019

Unsupervised Product Entity Resolution using Graph Representation Learning.
Proceedings of the SIGIR 2019 Workshop on eCommerce, 2019

Co-LOD: Continuous Space Linked Open Data.
Proceedings of the ISWC 2019 Satellite Tracks (Posters & Demonstrations, 2019

Concept drift in bias and sensationalism detection: an experimental study.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

SAVIZ: interactive exploration and visualization of situation labeling classifiers over crisis social media data.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

Low-supervision urgency detection and transfer in short crisis messages.
Proceedings of the ASONAM '19: International Conference on Advances in Social Networks Analysis and Mining, 2019

2018
Investigative Knowledge Discovery for Combating Illicit Activities.
IEEE Intell. Syst., 2018

Unsupervised Hashtag Retrieval and Visualization for Crisis Informatics.
CoRR, 2018

A Pipeline for Post-Crisis Twitter Data Acquisition.
CoRR, 2018

How Do Organizations Publish Semantic Markup? Three Case Studies Using Public Schema.org Crawls.
Computer, 2018

Domain-specific Insight Graphs (DIG).
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

THOR: Text-enabled Analytics for Humanitarian Operations.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018

BigNet 2018 Chairs' Welcome & Organization.
Proceedings of the Companion of the The Web Conference 2018 on The Web Conference 2018, 2018


Structured Event Entity Resolution in Humanitarian Domains.
Proceedings of the Semantic Web - ISWC 2018, 2018

Technology-assisted Investigative Search: A Case Study from an Illicit Domain.
Proceedings of the Extended Abstracts of the 2018 CHI Conference on Human Factors in Computing Systems, 2018

Always Lurking: Understanding and Mitigating Bias in Online Human Trafficking Detection.
Proceedings of the 2018 AAAI/ACM Conference on AI, Ethics, and Society, 2018

Constructing Domain-Specific Search Engines With No Programming.
Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017
Populating a Linked Data Entity Name System - A Big Data Solution to Unsupervised Instance Matching
Studies on the Semantic Web 27, IOS Press, ISBN: 978-1-61499-692-7, 2017

Scalable Generation of Type Embeddings Using the ABox.
Open J. Semantic Web, 2017

FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining.
CoRR, 2017

Information Extraction in Illicit Domains.
CoRR, 2017

Populating a linked data entity name system.
AI Matters, 2017

Information Extraction in Illicit Web Domains.
Proceedings of the 26th International Conference on World Wide Web, 2017

Supervised typing of big graphs using semantic embeddings.
Proceedings of The International Workshop on Semantic Big Data, 2017

Predicting Role Relevance with Minimal Domain Expertise in a Financial Domain.
Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Using contexts and constraints for improved geotagging of human trafficking webpages.
Proceedings of the Fourth International ACM Workshop on Managing and Mining Enriched Geo-Spatial Data, 2017

A Semantic Search Engine For Investigating Human Trafficking.
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, 2017

An Investigative Search Engine for the Human Trafficking Domain.
Proceedings of the Semantic Web - ISWC 2017, 2017

Neural Embeddings for Populated Geonames Locations.
Proceedings of the Semantic Web - ISWC 2017, 2017

2016
Experience: Type alignment on DBpedia and Freebase.
CoRR, 2016

Self-contained NoSQL Resources for Cross-Domain RDF.
CoRR, 2016

Disjunctive Normal Form Schemes for Heterogeneous Attributed Graphs.
CoRR, 2016

An Ensemble Blocking Scheme for Entity Resolution of Large and Sparse Datasets.
CoRR, 2016

Local, Domain-independent Heuristics for the FEIII Challenge: Lessons and Observations.
Proceedings of the Second International Workshop on Data Science for Macro-Modeling, 2016

2015
An unsupervised instance matcher for schema-free RDF data.
J. Web Semant., 2015

On the Complexity of Sorted Neighborhood.
CoRR, 2015

A DNF Blocking Scheme Learner for Heterogeneous Datasets.
CoRR, 2015

Decision-Making Bias in Instance Matching Model Selection.
Proceedings of the Semantic Web - ISWC 2015, 2015

Minimally Supervised Instance Matching: An Alternate Approach.
Proceedings of the Semantic Web: ESWC 2015 Satellite Events - ESWC 2015 Satellite Events Portorož, Slovenia, May 31, 2015

Semi-supervised Instance Matching Using Boosted Classifiers.
Proceedings of the Semantic Web. Latest Advances and New Domains, 2015

Sorted Neighborhood for Schema-free RDF Data.
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), 2015

A pipeline for extracting and deduplicating domain-specific knowledge bases.
Proceedings of the 2015 IEEE International Conference on Big Data (IEEE BigData 2015), Santa Clara, CA, USA, October 29, 2015

Entity Resolution in a Big Data Framework.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

Sorted Neighborhood for the Semantic Web.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Schema matching over relations, attributes, and data values.
Proceedings of the Conference on Scientific and Statistical Database Management, 2014

A two-step blocking scheme learner for scalable link discovery.
Proceedings of the 9th International Workshop on Ontology Matching collocated with the 13th International Semantic Web Conference (ISWC 2014), 2014

On Linking Heterogeneous Dataset Collections.
Proceedings of the ISWC 2014 Posters & Demonstrations Track a track within the 13th International Semantic Web Conference, 2014

Populating Entity Name Systems for Big Data Integration.
Proceedings of the Semantic Web - ISWC 2014, 2014

2013
Extended scaled neural predictor for improved branch prediction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

An Unsupervised Algorithm for Learning Blocking Schemes.
Proceedings of the 2013 IEEE 13th International Conference on Data Mining, 2013

2012
Poster: Digitization and Search: A Non-Traditional Use of HPC.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Abstract: Digitization and Search: A Non-Traditional Use of HPC.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Digitization and search: A non-traditional use of HPC.
Proceedings of the 8th IEEE International Conference on E-Science, 2012

A framework to access handwritten information within large digitized paper collections.
Proceedings of the 8th IEEE International Conference on E-Science, 2012


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