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SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification.

, , , , and . SemEval@NAACL-HLT, page 64-70. The Association for Computer Linguistics, (2016)

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Using Semantic Web Resources for Solving Winograd Schemas: Sculptures, Shelves, Envy, and Success., and . SEMANTiCS (Posters & Demos), volume 1481 of CEUR Workshop Proceedings, page 22-25. CEUR-WS.org, (2015)Inspire at SemEval-2016 Task 2: Interpretable Semantic Textual Similarity Alignment based on Answer Set Programming., and . SemEval@NAACL-HLT, page 1109-1115. The Association for Computer Linguistics, (2016)SteM at SemEval-2016 Task 4: Applying Active Learning to Improve Sentiment Classification., , , , and . SemEval@NAACL-HLT, page 64-70. The Association for Computer Linguistics, (2016)