Zhang, X. ., Thakur, N. ., Ogundepo, O. ., Kamalloo, E. ., Alfonso-Hermelo, D. ., Li, X. ., Liu, Q. ., Rezagholizadeh, M. ., & Lin, J. . (2023). MIRACL: A Multilingual Retrieval Dataset Covering 18 Diverse Languages. Transactions of the Association for Computational Linguistics, 11, 1114-1131. https://doi.org/10.1162/TACL_A_00595
Publications
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Qian, K. ., Belyi, A. ., Wu, F. ., Khorshidi, S. ., Nikfarjam, A. ., Khot, R. ., Sang, Y. ., Luna, K. ., Chu, X. ., Choi, E. ., Govind, Y. ., Seivwright, C. ., Sun, Y. ., Fakhry, A. ., Rekatsinas, T. ., Ilyas, I. ., Qi, X. ., & Li, Y. . (2023). Open Domain Knowledge Extraction for Knowledge Graphs. ArXiv, abs/2312.09424. https://doi.org/10.48550/ARXIV.2312.09424
Buchanan, G. R., McKay, D. ., & Clarke, C. . (2023). Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking. Made to Measure: A Workshop on Human-Centred Metrics for Information Seeking. Presented at the. https://doi.org/10.1145/3576840.3578301
Sheshbolouki, A. ., & Ozsu, T. . (2023). sGrow: Explaining the Scale-Invariant Strength Assortativity of Streaming Butterflies. ACM Transactions on the Web, 17, 1-24. https://doi.org/10.1145/3572408
Ozsu, T. . (2023). Data Science: A Systematic Treatment. ArXiv, abs/2301.13761. https://doi.org/10.48550/arXiv.2301.13761
Pradeep, R. ., Chen, H. ., Gu, L. ., Tamber, M. S., & Lin, J. . (2023). PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. PyGaggle: A Gaggle of Resources for Open-Domain Question Answering. Presented at the. https://doi.org/10.1007/978-3-031-28241-6_10
Lin, S.-C. ., & Lin, J. . (2023). A Dense Representation Framework for Lexical and Semantic Matching. ACM Transactions on Information Systems (TOIS), 41, 1-110. https://doi.org/10.1145/3582426
Rorseth, J. ., Godfrey, P. ., Golab, L. ., Kargar, M. ., Srivastava, D. ., & Szlichta, J. . (2023). CREDENCE: Counterfactual Explanations for Document Ranking. ArXiv, abs/2302.04983. https://doi.org/10.48550/arXiv.2302.04983
Adeyemi, M. ., Oladipo, A. ., Zhang, X. C., Alfonso-Hermelo, D. ., Rezagholizadeh, M. ., Chen, B. ., & Lin, J. . (2023). Overview of the CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages. CIRAL Track at FIRE 2023: Cross-Lingual Information Retrieval for African Languages. Presented at the. Retrieved from https://ceur-ws.org/Vol-3681/T2-1.pdf
Lin, S.-C. ., Asai, A. ., Li, M. ., Oguz, B. ., Lin, J. ., Mehdad, Y. ., Yih, W.- tau ., & Chen, X. . (2023). How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. How to Train Your Dragon: Diverse Augmentation Towards Generalizable Dense Retrieval. Presented at the. Retrieved from https://aclanthology.org/2023.findings-emnlp.423