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Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python.

, , , и . PyHPC@SC, стр. 76-85. IEEE, (2016)

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Cross-referencing Using Fine-grained Topic Modeling., , , , , и . NAACL-HLT (1), стр. 3978-3987. Association for Computational Linguistics, (2019)Is Your Anchor Going Up or Down? Fast and Accurate Supervised Topic Models., , , , и . HLT-NAACL, стр. 746-755. The Association for Computational Linguistics, (2015)Automatic Evaluation of Local Topic Quality., , , , , , и . ACL (1), стр. 788-796. Association for Computational Linguistics, (2019)Labeled Anchors and a Scalable, Transparent, and Interactive Classifier., , , , и . EMNLP, стр. 824-829. Association for Computational Linguistics, (2018)Mrs: High Performance MapReduce for Iterative and Asynchronous Algorithms in Python., , , и . PyHPC@SC, стр. 76-85. IEEE, (2016)Tandem Anchoring: a Multiword Anchor Approach for Interactive Topic Modeling., , , и . ACL (1), стр. 896-905. Association for Computational Linguistics, (2017)Mrs: MapReduce for Scientific Computing in Python., , и . SC Companion, стр. 600-608. IEEE Computer Society, (2012)Movie Recommendations Using the Deep Learning Approach., и . IRI, стр. 47-54. IEEE, (2018)Why ADAGRAD Fails for Online Topic Modeling., , и . EMNLP, стр. 446-451. Association for Computational Linguistics, (2017)Fast Inference for Interactive Models of Text., , , и . COLING, стр. 2997-3006. ACL, (2016)