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Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification.

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CompNA at SemEval-2021 Task 1: Prediction of lexical complexity analyzing heterogeneous features., and . SemEval@ACL/IJCNLP, page 560-564. Association for Computational Linguistics, (2021)Exploiting Context Information for Image Description., , , and . ICIAP (1), volume 10484 of Lecture Notes in Computer Science, page 320-331. Springer, (2017)SentNA @ ATE_ABSITA: Sentiment Analysis of Customer Reviews Using Boosted Trees with Lexical and Lexicon-based Features (short paper)., , and . EVALITA, volume 2765 of CEUR Workshop Proceedings, CEUR-WS.org, (2020)Automatic Extraction of Cause-Effect Relations in Natural Language Text., , and . DART@AI*IA, volume 1109 of CEUR Workshop Proceedings, page 37-48. CEUR-WS.org, (2013)Designing and Building Multimedia Cultural Stories Using Concepts of Film Theories and Logic Programming., , and . AAAI Fall Symposium: Cognitive and Metacognitive Educational Systems, volume FS-10-01 of AAAI Technical Report, AAAI, (2010)Machine Learning and Soft Computing Methodologies for Music Emotion Recognition., and . WIRN, volume 19 of Smart Innovation, Systems and Technologies, page 427-436. Springer, (2012)Optimization for Networks and Object Recognition.. University of Naples Federico II, Italy, (2017)base-search.net (ftunivnapoli:oai:fedoa.unina.it:12147).EmpNa at WASSA 2021: A Lightweight Model for the Prediction of Empathy, Distress and Emotions from Reactions to News Stories., and . WASSA@EACL, page 264-268. Association for Computational Linguistics, (2021)Fuzzy clustering of structured data: Some preliminary results., and . FUZZ-IEEE, page 1-6. IEEE, (2017)Integration of Context Information through Probabilistic Ontological Knowledge into Image Classification., , , and . Inf., 9 (10): 252 (2018)