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An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations

, , , и . стр. 680--693. (2008)

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Zhou Zhou

Zhou Zhou

Yayun Zhou

Yaming Zhou

Xianzhong Zhou

 

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Entity-centric search: querying by entities and for entities. University of Illinois Urbana-Champaign, USA, (2014)Towards Privacy-Preserving Evaluation for Information Retrieval Models Over Industry Data Sets., , , , и . AIRS, том 10648 из Lecture Notes in Computer Science, стр. 210-221. Springer, (2017)Data-oriented content query system: searching for data into text on the web., , и . WSDM, стр. 121-130. ACM, (2010)Entity-centric document filtering: boosting feature mapping through meta-features., и . CIKM, стр. 119-128. ACM, (2013)An Unsupervised Model for Exploring Hierarchical Semantics from Social Annotations, , , и . стр. 680--693. (2008)Contextual and Position-Aware Factorization Machines for Sentiment Classification., , , , и . CoRR, (2018)Disentangling Aspect and Opinion Words in Target-based Sentiment Analysis using Lifelong Learning., , , , и . CoRR, (2018)Target-Sensitive Memory Networks for Aspect Sentiment Classification., , , , и . ACL (1), стр. 957-967. Association for Computational Linguistics, (2018)Disentangling Aspect and Opinion Words in Sentiment Analysis Using Lifelong PU Learning., , , , и . NFMCP@PKDD/ECML, том 11948 из Lecture Notes in Computer Science, стр. 100-115. Springer, (2019)Unifying learning to rank and domain adaptation: enabling cross-task document scoring., и . KDD, стр. 781-790. ACM, (2014)