Dehghan, M. ., Kumar, D. ., & Golab, L. . (2022). GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. Presented at the. Retrieved from https://aclanthology.org/2022.findings-acl.77
Reference author: Lukasz Golab
First name
Lukasz
Last name
Golab
Dadvar, V. ., Golab, L. ., & Srivastava, D. . (2022). Exploring Data Using Patterns: A Survey. Information Systems, 108, 101985. https://doi.org/10.1016/j.is.2022.101985
Hebert, L. ., Golab, L. ., Poupart, P. ., & Cohen, R. . (2022). FedFormer: Contextual Federation With Attention in Reinforcement Learning. ArXiv, abs/2205.13697. https://doi.org/10.48550/arXiv.2205.13697
Chopra, S. ., & Golab, L. . (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study. Gender Differences in Early Career Performance Reviews: A Text Mining Study. Presented at the. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf
Dehghan, M. ., Kumar, D. ., & Golab, L. . (2022). GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. GRS: Combining Generation and Revision in Unsupervised Sentence Simplification. Presented at the. Retrieved from https://aclanthology.org/2022.findings-acl.77
Dadvar, V. ., Golab, L. ., & Srivastava, D. . (2022). Exploring Data Using Patterns: A Survey. Information Systems, 108, 101985. https://doi.org/10.1016/j.is.2022.101985
Artikis, A. ., Tatbul, N. ., Golab, L. ., & Sadoghi, M. . (2022). Editorial. Information Systems, 109, 102088. https://doi.org/10.1016/j.is.2022.102088
Zheng, Z. ., Zheng, L. ., Langouri, M. A., Chiang, F. ., Golab, L. ., Szlichta, J. ., & Baskaran, S. . (2022). Contextual Data Cleaning With Ontology Functional Dependencies. Journal of Data and Information Quality, 14, 1-20. https://doi.org/10.1145/3524303
Karegar, R. ., Mirsafian, M. ., Godfrey, P. ., Golab, L. ., Kargar, M. ., Srivastava, D. ., & Szlichta, J. . (2022). Discovering Domain Orders via Order Dependencies. Discovering Domain Orders via Order Dependencies. Presented at the. https://doi.org/10.1109/ICDE53745.2022.00087
Zheng, Z. ., Zheng, L. ., Langouri, M. A., Chiang, F. ., Golab, L. ., Szlichta, J. ., & Baskaran, S. . (2022). Contextual Data Cleaning With Ontology Functional Dependencies. Journal of Data and Information Quality, 14, 1-20. https://doi.org/10.1145/3524303