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Hierarchical Re-estimation of Topic Models for Measuring Topical Diversity.

, , , , , и . ECIR, том 10193 из Lecture Notes in Computer Science, стр. 68-81. (2017)

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Hosein Nazarpour

Ian Hosein

Kamel Hosein Bader

 

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Measuring Interestingness of Political Documents.. SIGIR, стр. 1175. ACM, (2016)Words are Malleable: Computing Semantic Shifts in Political and Media Discourse., , , , , и . CIKM, стр. 1509-1518. ACM, (2017)Telling How to Narrow it Down: Browsing Path Recommendation for Exploratory Search., , , , , и . CHIIR, стр. 369-372. ACM, (2017)Are Topically Diverse Documents Also Interesting?, , , , и . CLEF, том 9283 из Lecture Notes in Computer Science, стр. 215-221. Springer, (2015)Share your Model instead of your Data: Privacy Preserving Mimic Learning for Ranking., , , и . CoRR, (2017)Using Learning to Rank Approach for Parallel Corpora Based Cross Language Information Retrieval., , и . ECAI, том 242 из Frontiers in Artificial Intelligence and Applications, стр. 79-84. IOS Press, (2012)On Horizontal and Vertical Separation in Hierarchical Text Classification., , , и . ICTIR, стр. 185-194. ACM, (2016)Sources of Evidence for Automatic Indexing of Political Texts., , , и . ECIR, том 9022 из Lecture Notes in Computer Science, стр. 568-573. (2015)Domain Adaptation for Commitment Detection in Email., , и . WSDM, стр. 672-680. ACM, (2019)Generating Topic Pages for Scientific Concepts Using Scientific Publications., , и . ECIR (2), том 13981 из Lecture Notes in Computer Science, стр. 341-349. Springer, (2023)