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Not All Preference Pairs Are Created Equal: A Recipe for Annotation-Efficient Iterative Preference Learning.

, , , , , and . EMNLP (Findings), page 6549-6561. Association for Computational Linguistics, (2024)

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Detection of Shifts in User Interests for Personalized Information Filtering., , , and . SIGIR, page 317-325. ACM, (1996)Learning to Adapt Web Information Extraction Knowledge and Discovering New Attributes via a Bayesian Approach., and . IEEE Trans. Knowl. Data Eng., 22 (4): 523-536 (2010)Exploiting interactions of review text, hidden user communities and item groups, and time for collaborative filtering., , , and . Knowl. Inf. Syst., 52 (1): 221-254 (2017)Discovering knowledge from medical databases using evolutionory algorithms, , , , and . IEEE Engineering in Medicine and Biology Magazine, 19 (4): 45--55 (July 2000)Collaborative Information Extraction and Mining from Multiple Web Documents., , and . SDM, page 442-452. SIAM, (2006)Adapting Web information extraction knowledge via mining site-invariant and site-dependent features., and . ACM Trans. Internet Techn., 7 (1): 6 (2007)An unsupervised ranking method based on a technical difficulty terrain., , , and . CIKM, page 1989-1992. ACM, (2011)Product Question Intent Detection using Indicative Clause Attention and Adversarial Learning., and . ICTIR, page 75-82. ACM, (2018)Entity Retrieval in the Knowledge Graph with Hierarchical Entity Type and Content., , and . ICTIR, page 211-214. ACM, (2018)MEAD --- A platform for multidocument multilingual text summarization, , , , , , , , , and 7 other author(s). Conference on Language Resources and Evaluation (LREC), Lisbon, Portugal, (May 2004)