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A Deep Look into neural ranking models for information retrieval., , , , , , , , and . Inf. Process. Manag., 57 (6): 102067 (2020)Exploring Implicit and Explicit Geometrical Structure of Data for Deep Embedded Clustering., , , , and . Neural Process. Lett., 53 (1): 1-16 (2021)More than relevance: high utility query recommendation by mining users' search behaviors., , , and . CIKM, page 1814-1818. ACM, (2012)A Review on Question Generation from Natural Language Text., , , , and . ACM Trans. Inf. Syst., 40 (1): 14:1-14:43 (2022)Semantic Models for the First-Stage Retrieval: A Comprehensive Review., , , , , and . ACM Trans. Inf. Syst., 40 (4): 66:1-66:42 (2022)Dual-factor Generation Model for Conversation., , , , and . ACM Trans. Inf. Syst., 38 (3): 31:1-31:31 (2020)Link Prediction on N-ary Relational Data Based on Relatedness Evaluation., , , , and . IEEE Trans. Knowl. Data Eng., 35 (1): 672-685 (2023)Ensemble Ranking Model with Multiple Pretraining Strategies for Web Search., , , , and . CoRR, (2023)CAME: Competitively Learning a Mixture-of-Experts Model for First-stage Retrieval., , , , , , and . CoRR, (2023)Nested Event Extraction upon Pivot Element Recogniton., , , , , , , , and . CoRR, (2023)