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Document structure-driven investigative information retrieval., and . Inf. Syst., (March 2024)DB&IR integration: report on the Dagstuhl seminar "ranked XML querying"., , , , and . SIGMOD Record, 37 (3): 46-49 (2008)TF-IDF uncovered: a study of theories and probabilities., and . SIGIR, page 435-442. ACM, (2008)DB&IR integration: report on the dagstuhl seminar., , , , and . SIGIR Forum, 42 (2): 84-89 (2008)Document Difficulty Framework for Semi-automatic Text Classification., , and . DaWaK, volume 8057 of Lecture Notes in Computer Science, page 110-121. Springer, (2013)Modelling Probabilistic Inference Networks and Classification in Probabilistic Datalog., and . SUM, volume 6379 of Lecture Notes in Computer Science, page 278-291. Springer, (2010)Information Retrieval Models: Foundations & Relationships. Synthesis Lectures on Information Concepts, Retrieval, and Services Morgan & Claypool Publishers, (2013)Semi-automatic Document Classification: Exploiting Document Difficulty., , and . ECIR, volume 7224 of Lecture Notes in Computer Science, page 468-471. Springer, (2012)Opinion-Aware Retrieval Models Based on Sentiment and Intensity of Lexical Features., and . MMBD/MLIS, volume 341 of Frontiers in Artificial Intelligence and Applications, page 24-31. IOS Press, (2021)IR meets NLP: On the Semantic Similarity between Subject-Verb-Object Phrases., , and . ICTIR, page 231-240. ACM, (2015)