Pedro A. Szekely

ORCID

Publication Activity (10 Years)

Years Active: 1983-2024
Publications (10 Years): 94

Top Venues

Publications

Kexuan Sun, Nicolaas Paul Jedema, Karishma Sharma, Ruben Janssen, Jay Pujara, Pedro A. Szekely, Alessandro Moschitti
Efficient and Accurate Contextual Re-Ranking for Knowledge Graph Question Answering. LREC/COLING (2024)
Filip Ilievski, Kartik Shenoy, Hans Chalupsky, Nicholas Klein, Pedro A. Szekely
A study of concept similarity in Wikidata. Semantic Web 15 (3) (2024)
Daniel M. Benjamin, Fred Morstatter, Ali E. Abbas, Andrés Abeliuk, Pavel Atanasov, Stephen Bennett, Andreas Beger, Saurabh Birari, David V. Budescu, Michele Catasta, Emilio Ferrara, Lucas Haravitch, Mark Himmelstein, K. S. M. Tozammel Hossain, Yuzhong Huang, Woojeong Jin, Regina Joseph, Jure Leskovec, Akira Matsui, Mehrnoosh Mirtaheri, Xiang Ren, Gleb Satyukov, Rajiv Sethi, Amandeep Singh, Rok Sosic, Mark Steyvers, Pedro A. Szekely, Michael D. Ward, Aram Galstyan
. AI Mag. 44 (1) (2023)
Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely
A study of the quality of Wikidata. J. Web Semant. 72 (2022)
Hans Chalupsky, Pedro A. Szekely
Hybrid Structured and Similarity Queries over Wikidata plus Embeddings with Kypher-V. Wikidata@ISWC (2022)
Bohui Zhang, Filip Ilievski, Pedro A. Szekely
Enriching Wikidata with Linked Open Data. Wikidata@ISWC (2022)
Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao
Augmenting Knowledge Graphs for Better Link Prediction. IJCAI (2022)
Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely
PaCo: Preconditions Attributed to Commonsense Knowledge. EMNLP (Findings) (2022)
Ehsan Qasemi, Lee Kezar, Jay Pujara, Pedro A. Szekely
Evaluating Machine Common Sense via Cloze Testing. CoRR (2022)
Tanmay Ghai, Yixiang Yao, Srivatsan Ravi, Pedro A. Szekely
Evaluating the Feasibility of a Provably Secure Privacy-Preserving Entity Resolution Adaptation of PPJoin using Homomorphic Encryption. CoRR (2022)
Riccardo Tommasini, Senjuti Basu Roy, Xuan Wang, Hongwei Wang, Heng Ji, Jiawei Han, Preslav Nakov, Giovanni Da San Martino, Firoj Alam, Markus Schedl, Elisabeth Lex, Akash Bharadwaj, Graham Cormode, Milan Dojchinovski, Jan Forberg, Johannes Frey, Pieter Bonte, Marco Balduini, Matteo Belcao, Emanuele Della Valle, Junliang Yu, Hongzhi Yin, Tong Chen, Haochen Liu, Yiqi Wang, Wenqi Fan, Xiaorui Liu, Jamell Dacon, Lingjuan Lye, Jiliang Tang, Aristides Gionis, Stefan Neumann, Bruno Ordozgoiti, Simon Razniewski, Hiba Arnaout, Shrestha Ghosh, Fabian M. Suchanek, Lingfei Wu, Yu Chen, Yunyao Li, Bang Liu, Filip Ilievski, Daniel Garijo, Hans Chalupsky, Pedro A. Szekely, Ilias Kanellos, Dimitris Sacharidis, Thanasis Vergoulis, Nurendra Choudhary, Nikhil Rao, Karthik Subbian, Srinivasan H. Sengamedu, Chandan K. Reddy, Friedhelm Victor, Bernhard Haslhofer, George Katsogiannis-Meimarakis, Georgia Koutrika, Shengmin Jin, Danai Koutra, Reza Zafarani, Yulia Tsvetkov, Vidhisha Balachandran, Sachin Kumar, Xiangyu Zhao, Bo Chen, Huifeng Guo, Yejing Wang, Ruiming Tang, Yang Zhang, Wenjie Wang, Peng Wu, Fuli Feng, Xiangnan He
Accepted Tutorials at The Web Conference 2022. WWW (Companion Volume) (2022)
Renzo Angles, Aidan Hogan, Ora Lassila, Carlos Rojas, Daniel Schwabe, Pedro A. Szekely, Domagoj Vrgoc
Multilayer graphs: a unified data model for graph databases. GRADES-NDA@SIGMOD (2022)
Mayank Kejriwal, Pedro A. Szekely
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain. IEEE Trans. Big Data 8 (3) (2022)
Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. NAACL-HLT (2022)
Fei Wang, Zhewei Xu, Pedro A. Szekely, Muhao Chen
Robust (Controlled) Table-to-Text Generation with Structure-Aware Equivariance Learning. CoRR (2022)
Jiang Wang, Filip Ilievski, Pedro A. Szekely, Ke-Thia Yao
Augmenting Knowledge Graphs for Better Link Prediction. CoRR (2022)
Bohui Zhang, Filip Ilievski, Pedro A. Szekely
Enriching Wikidata with Linked Open Data. CoRR (2022)
Nicholas Klein, Filip Ilievski, Hayden Freedman, Pedro A. Szekely
Identifying Surprising Facts in Wikidata. Wikidata@ISWC (2022)
Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely
Dimensions of Commonsense Knowledge. CoRR (2021)
Filip Ilievski, Pedro A. Szekely, Gleb Satyukov, Amandeep Singh
User-friendly Comparison of Similarity Algorithms on Wikidata. Wikidata@ISWC (2021)
Hans Chalupsky, Pedro A. Szekely, Filip Ilievski, Daniel Garijo, Kartik Shenoy
Creating and Querying Personalized Versions of Wikidata on a Laptop. Wikidata@ISWC (2021)
Binh Vu, Craig A. Knoblock, Pedro A. Szekely, Minh Pham, Jay Pujara
A Graph-Based Approach for Inferring Semantic Descriptions of Wikipedia Tables. ISWC (2021)
Avijit Thawani, Jay Pujara, Filip Ilievski, Pedro A. Szekely
Representing Numbers in NLP: a Survey and a Vision. NAACL-HLT (2021)
Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
Learning cell embeddings for understanding table layouts. Knowl. Inf. Syst. 63 (1) (2021)
Ehsan Qasemi, Filip Ilievski, Muhao Chen, Pedro A. Szekely
CoreQuisite: Circumstantial Preconditions of Common Sense Knowledge. CoRR (2021)
Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CoRR (2021)
Avijit Thawani, Jay Pujara, Pedro A. Szekely, Filip Ilievski
Representing Numbers in NLP: a Survey and a Vision. CoRR (2021)
Yixiang Yao, Tanmay Ghai, Srivatsan Ravi, Pedro A. Szekely
AMPPERE: A Universal Abstract Machine for Privacy-Preserving Entity Resolution Evaluation. CIKM (2021)
Juan C. Roldán, Patricia Jiménez, Pedro A. Szekely, Rafael Corchuelo
TOMATE: A heuristic-based approach to extract data from HTML tables. Inf. Sci. 577 (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification With Salience-aware Learning. EMNLP (Findings) (2021)
Jay Pujara, Pedro A. Szekely, Huan Sun, Muhao Chen
From Tables to Knowledge: Recent Advances in Table Understanding. KDD (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. CoRR (2021)
Kartik Shenoy, Filip Ilievski, Daniel Garijo, Daniel Schwabe, Pedro A. Szekely
A Study of the Quality of Wikidata. CoRR (2021)
Nicholas Klein, Filip Ilievski, Pedro A. Szekely
Generating Explainable Abstractions for Wikidata Entities. K-CAP (2021)
Fei Wang, Kexuan Sun, Jay Pujara, Pedro A. Szekely, Muhao Chen
Table-based Fact Verification with Salience-aware Learning. CoRR (2021)
Filip Ilievski, Alessandro Oltramari, Kaixin Ma, Bin Zhang, Deborah L. McGuinness, Pedro A. Szekely
Dimensions of commonsense knowledge. Knowl. Based Syst. 229 (2021)
Fei Wang, Kexuan Sun, Muhao Chen, Jay Pujara, Pedro A. Szekely
Retrieving Complex Tables with Multi-Granular Graph Representation Learning. SIGIR (2021)
Filip Ilievski, Pedro A. Szekely, Gleb Satyukov, Amandeep Singh
User-friendly Comparison of Similarity Algorithms on Wikidata. CoRR (2021)
Hans Chalupsky, Pedro A. Szekely, Filip Ilievski, Daniel Garijo, Kartik Shenoy
Creating and Querying Personalized Versions of Wikidata on a Laptop. CoRR (2021)
Filip Ilievski, Pedro A. Szekely, Bin Zhang
CSKG: The CommonSense Knowledge Graph. ESWC (2021)
Peifeng Wang, Nanyun Peng, Pedro A. Szekely, Xiang Ren
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. CoRR (2020)
Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Milo Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro A. Szekely
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. CoRR (2020)
Filip Ilievski, Pedro A. Szekely, Jingwei Cheng, Fu Zhang, Ehsan Qasemi
Consolidating Commonsense Knowledge. CoRR (2020)
Peifeng Wang, Nanyun Peng, Filip Ilievski, Pedro A. Szekely, Xiang Ren
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering. EMNLP (Findings) (2020)
Filip Ilievski, Pedro A. Szekely, Bin Zhang
CSKG: The CommonSense Knowledge Graph. CoRR (2020)
Filip Ilievski, Pedro A. Szekely, Daniel Schwabe
Commonsense Knowledge in Wikidata. Wikidata@ISWC (2020)
Daniel Garijo, Ke-Thia Yao, Amandeep Singh, Pedro A. Szekely
A Template-Based Approach for Annotating Long-Tail Datasets. ASLD@ISWC (2020)
Filip Ilievski, Daniel Garijo, Hans Chalupsky, Naren Teja Divvala, Yixiang Yao, Craig Milo Rogers, Ronpeng Li, Jun Liu, Amandeep Singh, Daniel Schwabe, Pedro A. Szekely
KGTK: A Toolkit for Large Knowledge Graph Manipulation and Analysis. ISWC (2) (2020)
Filip Ilievski, Pedro A. Szekely, Daniel Schwabe
Commonsense Knowledge in Wikidata. CoRR (2020)
Mayank Kejriwal, Pedro A. Szekely
myDIG: Personalized Illicit Domain-Specific Knowledge Discovery with No Programming. Future Internet 11 (3) (2019)
Avijit Thawani, Minda Hu, Erdong Hu, Husain Zafar, Naren Teja Divvala, Amandeep Singh, Ehsan Qasemi, Pedro A. Szekely, Jay Pujara
Entity Linking to Knowledge Graphs to Infer Column Types and Properties. SemTab@ISWC (2019)
Jay Pujara, Arunkumar Rajendran, Majid Ghasemi-Gol, Pedro A. Szekely
A Common Framework for Developing Table Understanding Models. ISWC (Satellites) (2019)
Majid Ghasemi-Gol, Jay Pujara, Pedro A. Szekely
Tabular Cell Classification Using Pre-Trained Cell Embeddings. ICDM (2019)
Manling Li, Ying Lin, Ananya Subburathinam, Spencer Whitehead, Xiaoman Pan, Di Lu, Qingyun Wang, Tongtao Zhang, Lifu Huang, Heng Ji, Alireza Zareian, Hassan Akbari, Brian Chen, Bo Wu, Emily Allaway, Shih-Fu Chang, Kathleen R. McKeown, Yixiang Yao, Jennifer Chen, Eric Berquist, Kexuan Sun, Xujun Peng, Ryan Gabbard, Marjorie Freedman, Pedro A. Szekely, T. K. Satish Kumar, Arka Sadhu, Ram Nevatia, Miguel E. Rodríguez, Yifan Wang, Yang Bai, Ali Sadeghian, Daisy Zhe Wang
GAIA at SM-KBP 2019 - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2019)
Mayank Kejriwal, Runqi Shao, Pedro A. Szekely
Expert-Guided Entity Extraction using Expressive Rules. SIGIR (2019)
Pedro A. Szekely, Daniel Garijo, Jay Pujara, Divij Bhatia, Jiasheng Wu
T2WML: A Cell-Based Language to Map Tables into Wikidata Records. ISWC (Satellites) (2019)
Pedro A. Szekely, Daniel Garijo, Divij Bhatia, Jiasheng Wu, Yixiang Yao, Jay Pujara
T2WML: Table To Wikidata Mapping Language. K-CAP (2019)
Mayank Kejriwal, Pedro A. Szekely
Co-LOD: Continuous Space Linked Open Data. ISWC (Satellites) (2019)
Woojeong Jin, Changlin Zhang, Pedro A. Szekely, Xiang Ren
Recurrent Event Network for Reasoning over Temporal Knowledge Graphs. CoRR (2019)
Yixiang Yao, Pedro A. Szekely, Jay Pujara
Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. DSMM@SIGMOD (2019)
Fred Morstatter, Aram Galstyan, Gleb Satyukov, Daniel Benjamin, Andrés Abeliuk, Mehrnoosh Mirtaheri, KSM Tozammel Hossain, Pedro A. Szekely, Emilio Ferrara, Akira Matsui, Mark Steyvers, Stephen Bennett, David V. Budescu, Mark Himmelstein, Michael D. Ward, Andreas Beger, Michele Catasta, Rok Sosic, Jure Leskovec, Pavel Atanasov, Regina Joseph, Rajiv Sethi, Ali E. Abbas
SAGE: A Hybrid Geopolitical Event Forecasting System. IJCAI (2019)
Daniel Garijo, Pedro A. Szekely
WDPlus: Leveraging Wikidata to Link and Extend Tabular Data (short paper). SciKnow@K-CAP (2019)
Yike Liu, Linhong Zhu, Pedro A. Szekely, Aram Galstyan, Danai Koutra
Coupled Clustering of Time-Series and Networks. SDM (2019)
Constantine Lignos, Chester Palen-Michel, Oskar Singer, Pedro A. Szekely, Elizabeth Boschee
Real-World Causal Relationship Discovery from Text. ISWC (Satellites) (2019)
Mayank Kejriwal, Jing Peng, Haotian Zhang, Pedro A. Szekely
Structured Event Entity Resolution in Humanitarian Domains. ISWC (1) (2018)
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
GAIA - A Multi-media Multi-lingual Knowledge Extraction and Hypothesis Generation System. TAC (2018)
Majid Ghasemi-Gol, Pedro A. Szekely
TabVec: Table Vectors for Classification of Web Tables. CoRR (2018)
Pedro A. Szekely, Mayank Kejriwal
Domain-specific Insight Graphs (DIG). WWW (Companion Volume) (2018)
Mayank Kejriwal, Pedro A. Szekely
Constructing Domain-Specific Search Engines With No Programming. AAAI (2018)
Mayank Kejriwal, Pedro A. Szekely, Craig A. Knoblock
Investigative Knowledge Discovery for Combating Illicit Activities. IEEE Intell. Syst. 33 (1) (2018)
Mayank Kejriwal, Daniel Gilley, Pedro A. Szekely, Jill Crisman
THOR: Text-enabled Analytics for Humanitarian Operations. WWW (Companion Volume) (2018)
Mayank Kejriwal, Pedro A. Szekely
Technology-assisted Investigative Search: A Case Study from an Illicit Domain. CHI Extended Abstracts (2018)
Craig A. Knoblock, Pedro A. Szekely, Eleanor E. Fink, Duane Degler, David Newbury, Robert Sanderson, Kate Blanch, Sara Snyder, Nilay Chheda, Nimesh Jain, Ravi Raju Krishna, Nikhila Begur Sreekanth, Yixiang Yao
A Demonstration of Tools for Building Linked Data for the American Art Collaborative. ISWC (Posters, Demos & Industry Tracks) (2017)
Mayank Kejriwal, Pedro A. Szekely
Neural Embeddings for Populated Geonames Locations. ISWC (2) (2017)
Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
Using contexts and constraints for improved geotagging of human trafficking webpages. GeoRich@SIGMOD (2017)
Eric Heiden, Gerard Hoberg, Craig A. Knoblock, Palak Modi, Gordon Phillips, Gaurangi Raul, Pedro A. Szekely
Web Text-based Network Industry Classifications: Preliminary Results. DSMM@SIGMOD (2017)
Mayank Kejriwal, Pedro A. Szekely
Supervised typing of big graphs using semantic embeddings. SBD@SIGMOD (2017)
Mayank Kejriwal, Pedro A. Szekely
Information Extraction in Illicit Domains. CoRR (2017)
Mayank Kejriwal, Pedro A. Szekely
Information Extraction in Illicit Web Domains. WWW (2017)
Mayank Kejriwal, Pedro A. Szekely
Scalable Generation of Type Embeddings Using the ABox. Open J. Semantic Web 4 (1) (2017)
Rahul Kapoor, Mayank Kejriwal, Pedro A. Szekely
Using Contexts and Constraints for Improved Geotagging of Human Trafficking Webpages. CoRR (2017)
Mayank Kejriwal, Jiayuan Ding, Runqi Shao, Anoop Kumar, Pedro A. Szekely
FlagIt: A System for Minimally Supervised Human Trafficking Indicator Mining. CoRR (2017)
Craig A. Knoblock, Pedro A. Szekely, Eleanor E. Fink, Duane Degler, David Newbury, Robert Sanderson, Kate Blanch, Sara Snyder, Nilay Chheda, Nimesh Jain, Ravi Raju Krishna, Nikhila Begur Sreekanth, Yixiang Yao
Lessons Learned in Building Linked Data for the American Art Collaborative. ISWC (2) (2017)
Mayank Kejriwal, Pedro A. Szekely
An Investigative Search Engine for the Human Trafficking Domain. ISWC (2) (2017)
Mayank Kejriwal, Thomas Schellenberg, Pedro A. Szekely
A Semantic Search Engine For Investigating Human Trafficking. ISWC (Posters, Demos & Industry Tracks) (2017)
Mayank Kejriwal, Pedro A. Szekely
Supervised Typing of Big Graphs using Semantic Embeddings. CoRR (2017)
Christian Paul, Achim Rettinger, Aditya Mogadala, Craig A. Knoblock, Pedro A. Szekely
Efficient Graph-Based Document Similarity. ESWC (2016)
Minh Pham, Suresh Alse, Craig A. Knoblock, Pedro A. Szekely
Semantic Labeling: A Domain-Independent Approach. ISWC (1) (2016)
Linhong Zhu, Majid Ghasemi-Gol, Pedro A. Szekely, Aram Galstyan, Craig A. Knoblock
Unsupervised Entity Resolution on Multi-type Graphs. ISWC (1) (2016)
Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite
Leveraging Linked Data to Discover Semantic Relations Within Data Sources. ISWC (1) (2016)
Johann Schaible, Pedro A. Szekely, Ansgar Scherp
Comparing Vocabulary Term Recommendations Using Association Rules and Learning to Rank: A User Study. ESWC (2016)
Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite
Learning the Semantics of Structured Data Sources. CoRR (2016)
Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite
Learning the semantics of structured data sources. J. Web Semant. (2016)
Gleb Gawriljuk, Andreas Harth, Craig A. Knoblock, Pedro A. Szekely
A Scalable Approach to Incrementally Building Knowledge Graphs. TPDL (2016)
Pedro A. Szekely, Craig A. Knoblock, Jason Slepicka, Andrew Philpot, Amandeep Singh, Chengye Yin, Dipsy Kapoor, Prem Natarajan, Daniel Marcu, Kevin Knight, David Stallard, Subessware S. Karunamoorthy, Rajagopal Bojanapalli, Steven Minton, Brian Amanatullah, Todd Hughes, Mike Tamayo, David Flynt, Rachel Artiss, Shih-Fu Chang, Tao Chen, Gerald Hiebel, Lidia Silva Ferreira
Building and Using a Knowledge Graph to Combat Human Trafficking. ISWC (2) (2015)
Mohsen Taheriyan, Craig A. Knoblock, Pedro A. Szekely, José Luis Ambite, Yinyi Chen
Leveraging Linked Data to Infer Semantic Relations within Structured Sources. COLD (2015)
Shaohan Hu, Shuochao Yao, Haiming Jin, Yiran Zhao, Yitao Hu, Xiaochen Liu, Nooreddin Naghibolhosseini, Shen Li, Akash Kapoor, William Dron, Lu Su, Amotz Bar-Noy, Pedro A. Szekely, Ramesh Govindan, Reginald L. Hobbs, Tarek F. Abdelzaher
Data Acquisition for Real-Time Decision-Making under Freshness Constraints. RTSS (2015)
Jason Slepicka, Chengye Yin, Pedro A. Szekely, Craig A. Knoblock
KR2RML: An Alternative Interpretation of R2RML for Heterogenous Sources. COLD (2015)
S. K. Ramnandan, Amol Mittal, Craig A. Knoblock, Pedro A. Szekely
Assigning Semantic Labels to Data Sources. ESWC (2015)
Craig A. Knoblock, Pedro A. Szekely
Exploiting Semantics for Big Data Integration. AI Mag. 36 (1) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pedro A. Szekely