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Learning Neural Templates for Recommender Dialogue System.

, , , , , , , , and . EMNLP (1), page 7821-7833. Association for Computational Linguistics, (2021)

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Multi-Task Learning for Conversational Question Answering over a Large-Scale Knowledge Base., , , , , , , and . EMNLP/IJCNLP (1), page 2442-2451. Association for Computational Linguistics, (2019)Selecting optimal training data for learning to rank., , , , and . Inf. Process. Manage., 47 (5): 730-741 (2011)Query dependent ranking using K-nearest neighbor., , , , , and . SIGIR, page 115-122. ACM, (2008)Effective Search of Logical Forms for Weakly Supervised Knowledge-Based Question Answering., , , , , and . CoRR, (2019)Learning multiple metrics for ranking., and . Frontiers of Computer Science in China, 5 (3): 259-267 (2011)A noise-tolerant graphical model for ranking., , , and . Inf. Process. Manage., 48 (2): 374-383 (2012)A simple approach to the design of site-level extractors using domain-centric principles., , , and . CIKM, page 1517-1521. ACM, (2012)Learning to Rank from Noisy Data., , and . ACM TIST, 7 (1): 1:1-1:21 (2015)Learning Neural Templates for Recommender Dialogue System., , , , , , , , and . EMNLP (1), page 7821-7833. Association for Computational Linguistics, (2021)A New Probabilistic Model for Rank Aggregation., , and . NIPS, page 1948-1956. Curran Associates, Inc., (2010)