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SentiME++ at SemEval-2017 Task 4: Stacking State-of-the-Art Classifiers to Enhance Sentiment Classification.

, , , and . SemEval@ACL, page 648-652. Association for Computational Linguistics, (2017)

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Reliable SPARQL queries with consistent results over P2P-shared RDF storage., , , and . IJWA, 2 (3): 151-163 (2010)Sequeval: An Offline Evaluation Framework for Sequence-Based Recommender Systems., , , and . Information, 10 (5): 174 (2019)A Multi-layer LSTM-based Approach for Robot Command Interaction Modeling., , , and . CoRR, (2018)Tree-based models for inductive classification on the Web Of Data., , , and . J. Web Semant., (2017)Completeness and consistency analysis for evolving knowledge bases., , , , , and . J. Web Semant., (2019)Design and Evaluation of an Affective BCI-Based Adaptive User Application: A Preliminary Case Study.. UMAP, volume 7899 of Lecture Notes in Computer Science, page 380-383. Springer, (2013)Boosting DL Concept Learners., , and . ESWC, volume 11503 of Lecture Notes in Computer Science, page 68-83. Springer, (2019)A Two-Fold Quality Assurance Approach for Dynamic Knowledge Bases: The 3cixty Use Case., , , , and . (KNOW@LOD/CoDeS)@ESWC, volume 1586 of CEUR Workshop Proceedings, CEUR-WS.org, (2016)Inductive Classification Through Evidence-Based Models and Their Ensembles., , , and . ESWC, volume 9088 of Lecture Notes in Computer Science, page 418-433. Springer, (2015)ADEL : une méthode adaptative de désambiguïsation d'entités nommées., , and . IC, page 80-85. (2017)