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Structural Kernels and Neural Network Models for Question Answering Systems.. University of Trento, Italy, (2018)base-search.net (ftutrentophd:oai:eprints-phd.biblio.unitn.it:2886).Crossword Puzzle Resolution in Italian using Distributional Models for Clue Similarity., и . IIR, том 1653 из CEUR Workshop Proceedings, CEUR-WS.org, (2016)Accurate Sentence Matching with Hybrid Siamese Networks., и . CIKM, стр. 2235-2238. ACM, (2017)Semantic Linking in Convolutional Neural Networks for Answer Sentence Selection., и . EMNLP, стр. 1070-1076. Association for Computational Linguistics, (2018)Learning to Differentiate Better from Worse Translations., , , , , и . EMNLP, стр. 214-220. ACL, (2014)XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages., , , , , , , , , и 17 other автор(ы). EMNLP (Findings), стр. 1856-1884. Association for Computational Linguistics, (2023)Learning to Rank Aggregated Answers for Crossword Puzzles., , и . ECIR, том 9022 из Lecture Notes in Computer Science, стр. 556-561. (2015)Learning Contextual Embeddings for Structural Semantic Similarity using Categorical Information., и . CoNLL, стр. 260-270. Association for Computational Linguistics, (2017)Answering Conversational Questions on Structured Data without Logical Forms., , , , и . EMNLP/IJCNLP (1), стр. 5901-5909. Association for Computational Linguistics, (2019)Translate & Fill: Improving Zero-Shot Multilingual Semantic Parsing with Synthetic Data., , и . EMNLP (Findings), стр. 3272-3284. Association for Computational Linguistics, (2021)