Li, H., Wang, S., Zhuang, S., Mourad, A., Ma, X., Lin, J., & Zuccon, G. (2022). To Interpolate or Not to Interpolate: PRF, Dense and Sparse Retrievers ArXiv, abs/2205.00235. https://doi.org/10.48550/arXiv.2205.00235
References
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Jin, G., Anzum, N., & Salihoglu, S. (2022). GRainDB: A Relational-Core Graph-Relational DBMS Presented at the GRainDB: A Relational-Core Graph-Relational DBMS conference. Retrieved from https://www.cidrdb.org/cidr2022/papers/p57-jin.pdf
Abebe, M., Lazu, H., & Daudjee, K. (2022). Proteus: Autonomous Adaptive Storage for Mixed Workloads Presented at the Proteus: Autonomous Adaptive Storage for Mixed Workloads conference. https://doi.org/10.1145/3514221.3517834
Xia, K., Zhao, W., Jolfaei, A., & Ozsu, T. (2022). Introduction to the Special Section on Edge/Fog Computing for Infectious Disease Intelligence ACM Transactions on Internet Technology (TOIT), 22, 1-63. https://doi.org/10.1145/3494119
Xue, H., Salim, F. D., Ren, Y., & Clarke, C. (2022). Translating Human Mobility Forecasting Through Natural Language Generation Presented at the Translating Human Mobility Forecasting Through Natural Language Generation conference. https://doi.org/10.1145/3488560.3498387
Li, H., Zhuang, S., Ma, X., Lin, J., & Zuccon, G. (2022). Pseudo-Relevance Feedback With Dense Retrievers in Pyserini Presented at the Pseudo-Relevance Feedback With Dense Retrievers in Pyserini conference. https://doi.org/10.1145/3572960.3572982
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
Voorhees, E. M., Craswell, N., & Lin, J. (2022). Too Many Relevants: Whither Cranfield Test Collections? Presented at the Too Many Relevants: Whither Cranfield Test Collections? conference. https://doi.org/10.1145/3477495.3531728
Yamamoto, T., Dou, Z., Kando, N., Clarke, C., Kato, M. P., & Liu, Y. (2022). Report on the 16th Round of NII Testbeds and Community for Information Access Research (NTCIR-16) SIGIR Forum, 56, 1-7. https://doi.org/10.1145/3582900.3582911
Shi, P., Song, L., Jin, L., Mi, H., Bai, H., Lin, J., & Yu, D. (2022). Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup Presented at the Cross-Lingual Text-to-SQL Semantic Parsing With Representation Mixup conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.388