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 Primary Tabs View conference. https://doi.org/10.1145/3572960.3572982
References
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Gao, L., Ma, X., Lin, J., & Callan, J. (2022). Precise Zero-Shot Dense Retrieval Without Relevance Labels ArXiv, abs/2212.10496. https://doi.org/10.48550/arXiv.2212.10496
Li, M., Zhang, X., Xin, J., Zhang, H., & Lin, J. (2022). Certified Error Control of Candidate Set Pruning for Two-Stage Relevance Ranking ArXiv, abs/2205.09638. https://doi.org/10.48550/arXiv.2205.09638
Tang, R., Kumar, K., Xin, J., Vyas, P., Li, W., Yang, G., … Lin, J. (2022). Temporal Early Exiting for Streaming Speech Commands Recognition Presented at the Temporal Early Exiting for Streaming Speech Commands Recognition conference. https://doi.org/10.1109/ICASSP43922.2022.9746863
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
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
Devins, J., Tibshirani, J., & Lin, J. (2022). Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini Presented at the Aligning the Research and Practice of Building Search Applications: Elasticsearch and Pyserini conference. https://doi.org/10.1145/3488560.3502186
Ammar, K., Sahu, S., Salihoglu, S., & Ozsu, T. (2022). Optimizing Differentially-Maintained Recursive Queries on Dynamic Graphs ArXiv, abs/2208.00273. https://doi.org/10.48550/arXiv.2208.00273
Kargar, M., Golab, L., Srivastava, D., Szlichta, J., & Zihayat, M. (2022). Effective Keyword Search Over Weighted Graphs IEEE Transactions on Knowledge and Data Engineering (TKDE), 34, 601-616. https://doi.org/10.1109/TKDE.2020.2985376
Zhong, W., Xie, Y., & Lin, J. (2022). Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef Presented at the Applying Structural and Dense Semantic Matching for the ARQMath Lab 2022, Clef conference. Retrieved from http://ceur-ws.org/Vol-3180/paper-09.pdf