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