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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2022
Seltzer, J., Cheng, K., Zong, S., & Lin, J. (2022). Flipping the Script: Inverse Information Seeking Dialogues for Market Research Presented at the Flipping the Script: Inverse Information Seeking Dialogues for Market Research conference. https://doi.org/10.1145/3477495.3536326
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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
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
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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