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The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems.

, , , и . SIGDIAL Conference, стр. 285-294. The Association for Computer Linguistics, (2015)

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Question Personalization in an Intelligent Tutoring System., , , , и . AIED (2), том 13356 из Lecture Notes in Computer Science, стр. 586-590. Springer, (2022)How Useful Are Educational Questions Generated by Large Language Models?, , , и . AIED (Posters/Late Breaking Results/...), том 1831 из Communications in Computer and Information Science, стр. 536-542. Springer, (2023)The Ubuntu Dialogue Corpus: A Large Dataset for Research in Unstructured Multi-Turn Dialogue Systems., , , и . SIGDIAL Conference, стр. 285-294. The Association for Computer Linguistics, (2015)How Teachers Can Use Large Language Models and Bloom's Taxonomy to Create Educational Quizzes., , , и . AAAI, стр. 23084-23091. AAAI Press, (2024)How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation., , , , , и . EMNLP, стр. 2122-2132. The Association for Computational Linguistics, (2016)The RLLChatbot: a solution to the ConvAI challenge., , , , , , и . CoRR, (2018)Theano: A Python framework for fast computation of mathematical expressions, , , , , , , , , и 103 other автор(ы). (2016)cite arxiv:1605.02688Comment: 19 pages, 5 figures.Generating Factoid Questions With Recurrent Neural Networks: The 30M Factoid Question-Answer Corpus, , , , , , и . (2016)cite arxiv:1603.06807Comment: 13 pages, 1 figure, 7 tables.Piecewise Latent Variables for Neural Variational Text Processing., , , и . SPNLP@EMNLP, стр. 52-62. Association for Computational Linguistics, (2017)A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues., , , , , , и . (2016)cite arxiv:1605.06069Comment: 15 pages, 5 tables, 4 figures.