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Improving Search Effectiveness with Field-based Relevance Modeling., , , и . ADCS, стр. 11:1-11:4. ACM, (2018)RMIT at the 2018 TREC CORE Track., , , , , , , и . TREC, том 500-331 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2018)RMIT at TREC Deep Learning Track 2020., и . TREC, том 1266 из NIST Special Publication, National Institute of Standards and Technology (NIST), (2020)A Comparative Analysis of Human and Automatic Query Variants., , , , и . ICTIR, стр. 47-50. ACM, (2019)Entropy-Based Query Performance Prediction for Neural Information Retrieval Systems., , , и . QPP++@ECIR, том 3366 из CEUR Workshop Proceedings, стр. 37-44. CEUR-WS.org, (2023)From Query Variations To Learned Relevance Modeling.. SIGIR, стр. 1450. ACM, (2019)Strong natural language query generation., , и . Inf. Retr. J., 24 (4-5): 322-346 (2021)Generalizing Discriminative Retrieval Models using Generative Tasks., , , и . WWW, стр. 3745-3756. ACM / IW3C2, (2021)