Chopra, S., & Golab, L. (2022). Gender Differences in Early Career Performance Reviews: A Text Mining Study Presented at the Gender Differences in Early Career Performance Reviews: A Text Mining Study conference. Retrieved from http://ceur-ws.org/Vol-3135/darliap_paper3.pdf
References
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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
Wang, R., Wang, J., Idreos, S., Ozsu, T., & Aref, W. G. (2022). The Case for Distributed Shared-Memory Databases With RDMA-Enabled Memory Disaggregation Proceedings of the VLDB Endowment (PVLDB), 16, 15-22. Retrieved from https://www.vldb.org/pvldb/vol16/p15-wang.pdf
Zhang, D., Tahami, A. V., Abualsaud, M., & Smucker, M. (2022). Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search Presented at the Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search conference. https://doi.org/10.1145/3477495.3531812
Hebert, L., Golab, L., & Cohen, R. (2022). Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context Presented at the Predicting Hateful Discussions on Reddit Using Graph Transformer Networks And Communal Context conference. https://doi.org/10.1109/WI-IAT55865.2022.00012
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
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
Arabzadeh, N., Seifikar, M., & Clarke, C. (2022). Unsupervised Question Clarity Prediction Through Retrieved Item Coherency ArXiv, abs/2208.04882. https://doi.org/10.48550/arXiv.2208.04882
Shi, P., Zhang, R., Bai, H., & Lin, J. (2022). XRICL: Cross-Lingual Retrieval-Augmented in-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing Presented at the XRICL: Cross-Lingual Retrieval-Augmented In-Context Learning For Cross-Lingual Text-to-SQL Semantic Parsing conference. Retrieved from https://aclanthology.org/2022.findings-emnlp.384
Jiang, Z., Yang, M. Y. R., Tsirlin, M., Tang, R., & Lin, J. (2022). Less Is More: Parameter-Free Text Classification With Gzip ArXiv, abs/2212.09410. https://doi.org/10.48550/arXiv.2212.09410