Voorhees, E. M., Craswell, N. ., & Lin, J. . (2022). Too Many Relevants: Whither Cranfield Test Collections?. Too Many Relevants: Whither Cranfield Test Collections?. Presented at the. https://doi.org/10.1145/3477495.3531728
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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
Durvasula, S. ., Kiguru, R. ., Mathur, S. ., Xu, J. ., Lin, J. ., & Vijaykumar, N. . (2022). VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. VoxelCache: Accelerating Online Mapping in Robotics and 3D Reconstruction Tasks. Presented at the. https://doi.org/10.1145/3559009.3569675
Pradeep, R. ., Li, Y. ., Wang, Y. ., & Lin, J. . (2022). Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. Neural Query Synthesis and Domain-Specific Ranking Templates for Multi-Stage Clinical Trial Matching. Presented at the. https://doi.org/10.1145/3477495.3531853
Chen, J. ., Huang, Y. ., Wang, M. ., Salihoglu, S. ., & Salem, K. . (2022). Accurate Summary-Based Cardinality Estimation Through the Lens Of Cardinality Estimation Graphs. Proceedings of the VLDB Endowment (PVLDB), 15, 1533-1545. Retrieved from https://www.vldb.org/pvldb/vol15/p1533-chen.pdf
Hebert, L. ., Golab, L. ., & Cohen, R. . (2022). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context. Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context. Presented at the. https://doi.org/10.1109/WI-IAT55865.2022.00012
Borgida, A. ., Franconi, E. ., Toman, D. ., & Weddell, G. . (2022). Understanding Document Data Sources Using Ontologies With Referring Expressions. Understanding Document Data Sources Using Ontologies With Referring Expressions Primary Tabs View. Presented at the. https://doi.org/10.1007/978-3-031-22695-3_26
Pappachan, P. ., Zhang, S. ., He, X. ., & Mehrotra, S. . (2022). Don\textquoterightt Be a Tattle-Tale: Preventing Leakages Through Data Dependencies On Access Control Protected Data. ArXiv, abs/2207.08757. https://doi.org/10.48550/arXiv.2207.08757
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
Voorhees, E. M., Soboroff, I. ., & Lin, J. . (2022). Can Old TREC Collections Reliably Evaluate Modern Neural Retrieval Models?. ArXiv, abs/2201.11086. Retrieved from https://arxiv.org/abs/2201.11086