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A system using implicit feedback and top ranking sentences to help users find relevant web documents.

, , and . SIGIR, page 446. ACM, (2002)

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Find What You Need, Understand What You Find., and . Int. J. Hum. Comput. Interaction, 23 (3): 205-237 (2007)An Insight Extraction System on BioMedical Literature with Deep Neural Networks., , , , , and . EMNLP, page 2691-2701. Association for Computational Linguistics, (2017)Taking Search to Task., , , , , and . CHIIR, page 1-13. ACM, (2023)MS-LaTTE: A Dataset of Where and When To-do Tasks are Completed., , , and . LREC, page 5393-5403. European Language Resources Association, (2022)Building the trail best traveled: effects of domain knowledge on web search trailblazing., and . CHI, page 1795-1804. ACM, (2012)Leaving so soon?: understanding and predicting web search abandonment rationales., , , and . CIKM, page 1025-1034. ACM, (2012)A system using implicit feedback and top ranking sentences to help users find relevant web documents., , and . SIGIR, page 446. ACM, (2002)Making Large Language Models Better Data Creators., , , , and . EMNLP, page 15349-15360. Association for Computational Linguistics, (2023)Finding relevant documents using top ranking sentences: an evaluation of two alternative schemes., , and . SIGIR, page 57-64. ACM, (2002)The Use of Implicit Evidence for Relevance Feedback in Web Retrieval., , and . ECIR, volume 2291 of Lecture Notes in Computer Science, page 93-109. Springer, (2002)