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A Study of Feature Construction for Text-based Forecasting of Time Series Variables., , , and . CIKM, page 2347-2350. ACM, (2017)Towards better generalization in Pittsburgh learning classifier systems., , , and . IEEE Congress on Evolutionary Computation, page 1666-1673. IEEE, (2014)On Application of Learning to Rank for E-Commerce Search., , and . SIGIR, page 475-484. ACM, (2017)Generative Feature Language Models for Mining Implicit Features from Customer Reviews., , and . CIKM, page 929-938. ACM, (2016)Concept Annotation from Users Perspective: A New Challenge., and . WWW (Companion Volume), page 1180-1188. ACM, (2022)Semantic Overlap Summarization among Multiple Alternative Narratives: An Exploratory Study., , and . COLING, page 6195-6207. International Committee on Computational Linguistics, (2022)TILM: Neural Language Models with Evolving Topical Influence., , and . CoNLL, page 778-788. Association for Computational Linguistics, (2019)Analysis of Adaptive Training for Learning to Rank in Information Retrieval., , , , and . CIKM, page 2325-2328. ACM, (2019)JIM: Joint Influence Modeling for Collective Search Behavior., , , and . CoRR, (2019)Learning to Generate Overlap Summaries through Noisy Synthetic Data., , and . EMNLP, page 11765-11777. Association for Computational Linguistics, (2022)