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  2021 (1)
Dimensions of commonsense knowledge. Ilievski, F.; Oltramari, A.; Ma, K.; Zhang, B.; McGuinness, D. L; and Szekely, P. arXiv preprint arXiv:2101.04640. 2021.
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  2020 (6)
Connecting the dots: A knowledgeable path generator for commonsense question answering. Wang, P.; Peng, N.; Szekely, P.; and Ren, X. arXiv preprint arXiv:2005.00691. 2020.
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KGTK: a toolkit for large knowledge graph manipulation and analysis. Ilievski, F.; Garijo, D.; Chalupsky, H.; Divvala, N. T.; Yao, Y.; Rogers, C.; Li, R.; Liu, J.; Singh, A.; Schwabe, D.; and others In International Semantic Web Conference, pages 278–293, 2020. Springer, Cham
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CSKG: The CommonSense Knowledge Graph. Ilievski, F.; Szekely, P.; and Zhang, B. arXiv preprint arXiv:2012.11490. 2020.
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Commonsense knowledge in wikidata. Ilievski, F.; Szekely, P.; and Schwabe, D. arXiv preprint arXiv:2008.08114. 2020.
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Consolidating commonsense knowledge. Ilievski, F.; Szekely, P.; Cheng, J.; Zhang, F.; and Qasemi, E. arXiv preprint arXiv:2006.06114. 2020.
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Learning cell embeddings for understanding table layouts. Ghasemi-Gol, M.; Pujara, J.; and Szekely, P. Knowledge and Information Systems,1–26. 2020.
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  2019 (17)
WDPlus: Leveraging Wikidata to Link and Extend Tabular Data. Garijo, D.; and Szekely, P. . 2019.
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Entity Linking to Knowledge Graphs to Infer Column Types and Properties. Thawani, A.; Hu, M.; Hu, E.; Zafar, H.; Divvala, N. T.; Singh, A.; Qasemi, E.; Szekely, P. A; and Pujara, J. SemTab ISWC, 2019: 25–32. 2019.
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T2WML: Table To Wikidata Mapping Language. Szekely, P.; Garijo, D.; Bhatia, D.; Wu, J.; Yao, Y.; and Pujara, J. In Proceedings of the 10th International Conference on Knowledge Capture, pages 267–270, 2019.
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Real-World Causal Relationship Discovery from Text. Lignos, C.; Palen-Michel, C.; Singer, O.; Szekely, P. A; and Boschee, E. In ISWC Satellites, pages 101–104, 2019.
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myDIG: personalized illicit domain-specific knowledge discovery with no programming. Kejriwal, M.; and Szekely, P. Future Internet, 11(3): 59. 2019.
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Recurrent event network: Global structure inference over temporal knowledge graph. Jin, W.; Jiang, H.; Qu, M.; Chen, T.; Zhang, C.; Szekely, P.; and Ren, X. arXiv preprint arXiv:1904.05530. 2019.
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Gaia at sm-kbp 2019-a multi-media multi-lingual knowledge extraction and hypothesis generation system. Li, M.; Lin, Y.; Subburathinam, A.; Whitehead, S.; Pan, X.; Lu, D.; Wang, Q.; Zhang, T.; Huang, L.; Ji, H.; and others Proceedings of TAC KBP. 2019.
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Tabular cell classification using pre-trained cell embeddings. Gol, M. G.; Pujara, J.; and Szekely, P. In 2019 IEEE International Conference on Data Mining (ICDM), pages 230–239, 2019. IEEE
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Co-LOD: Continuous Space Linked Open Data. Kejriwal, M.; and Szekely, P. A In ISWC Satellites, pages 333–337, 2019.
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SAGE: A Hybrid Geopolitical Event Forecasting System. Morstatter, F.; Galstyan, A.; Satyukov, G.; Benjamin, D.; Abeliuk, A.; Mirtaheri, M.; Hossain, K. T.; Szekely, P. A; Ferrara, E.; Matsui, A.; and others In IJCAI, pages 6557–6559, 2019.
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A Common Framework for Developing Table Understanding Models. Pujara, J.; Rajendran, A.; Ghasemi-Gol, M.; and Szekely, P. A In ISWC Satellites, pages 133–136, 2019.
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Recurrent event network for reasoning over temporal knowledge graphs. Jin, W.; Zhang, C.; Szekely, P.; and Ren, X. arXiv preprint arXiv:1904.05530. 2019.
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Domain-Specific Insight Graphs. Szekely, P.; and Kejriwal, M. Technical Report University of Southern California Marina del Rey United States, 2019.
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Extensible and Scalable Entity Resolution for Financial Datasets Using RLTK. Yao, Y.; Szekely, P.; and Pujara, J. In Proceedings of the 5th Workshop on Data Science for Macro-modeling with Financial and Economic Datasets, pages 1–1, 2019.
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T2WML: A Cell-Based Language to Map Tables into Wikidata Records. Szekely, P. A; Garijo, D.; Pujara, J.; Bhatia, D.; and Wu, J. In ISWC Satellites, pages 45–48, 2019.
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Expert-Guided Entity Extraction using Expressive Rules. Kejriwal, M.; Shao, R.; and Szekely, P. In Proceedings of the 42nd International ACM SIGIR Conference on Research and Development in Information Retrieval, pages 1353–1356, 2019.
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Coupled clustering of time-series and networks. Liu, Y.; Zhu, L.; Szekely, P.; Galstyan, A.; and Koutra, D. In Proceedings of the 2019 SIAM International Conference on Data Mining, pages 531–539, 2019. SIAM
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