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A Deep Look into neural ranking models for information retrieval., , , , , , , , и . Inf. Process. Manag., 57 (6): 102067 (2020)Semantic Models for the First-Stage Retrieval: A Comprehensive Review., , , , , и . ACM Trans. Inf. Syst., 40 (4): 66:1-66:42 (2022)A Review on Question Generation from Natural Language Text., , , , и . ACM Trans. Inf. Syst., 40 (1): 14:1-14:43 (2022)Dual-factor Generation Model for Conversation., , , , и . ACM Trans. Inf. Syst., 38 (3): 31:1-31:31 (2020)Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search., , , , и . CoRR, (2023)More than relevance: high utility query recommendation by mining users' search behaviors., , , и . CIKM, стр. 1814-1818. ACM, (2012)CorpusBrain: Pre-train a Generative Retrieval Model for Knowledge-Intensive Language Tasks., , , , , и . CIKM, стр. 191-200. ACM, (2022)Learning to Truncate Ranked Lists for Information Retrieval., , , , , и . AAAI, стр. 4453-4461. AAAI Press, (2021)A Comparative Study of Training Objectives for Clarification Facet Generation., , , и . SIGIR-AP, стр. 1-10. ACM, (2023)Prompt Tuning with Contradictory Intentions for Sarcasm Recognition., , , , и . EACL, стр. 328-339. Association for Computational Linguistics, (2023)