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On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents.

, , , and . ECIR, volume 5993 of Lecture Notes in Computer Science, page 573-576. Springer, (2010)

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On Improving Pseudo-Relevance Feedback Using Pseudo-Irrelevant Documents., , , and . ECIR, volume 5993 of Lecture Notes in Computer Science, page 573-576. Springer, (2010)Investigating the suboptimality and instability of pseudo-relevance feedback., and . SIGIR, page 813-814. ACM, (2010)"They Are Out There, If You Know Where to Look": Mining Transliterations of OOV Query Terms for Cross-Language Information Retrieval., , , and . ECIR, volume 5478 of Lecture Notes in Computer Science, page 437-448. Springer, (2009)Extracting Named Entities and Relating Them over Time Based on Wikipedia., , , and . Informatica (Slovenia), 31 (4): 463-468 (2007)Mining Multi-word Named Entity Equivalents from Comparable Corpora., , and . NEWS@IJCNLP, page 65-72. Asian Federation of Natural Language Processing, (2011)Improving Bilingual Projections via Sparse Covariance Matrices., , , and . EMNLP, page 930-940. ACL, (2011)Ä term is known by the company it keeps": On Selecting a Good Expansion Set in Pseudo-Relevance Feedback., , and . ICTIR, volume 5766 of Lecture Notes in Computer Science, page 104-115. Springer, (2009)On Correcting Misspelled Queries in Email Search., and . AAAI, page 4266-4267. AAAI Press, (2015)Demo: HistoryViz - Visualizing Events and Relations Extracted from Wikipedia., , , , and . ESWC, volume 5554 of Lecture Notes in Computer Science, page 903-907. Springer, (2009)