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ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora., , , , , , , and . SemEval@NAACL-HLT, page 896-903. The Association for Computer Linguistics, (2016)Efficient Kernel-based Learning for Trees., , , and . CIDM, page 308-315. IEEE, (2007)Structural Representations for Learning Relations between Pairs of Texts., , and . ACL (1), page 1003-1013. The Association for Computer Linguistics, (2015)A Flexible, Efficient and Accurate Framework for Community Question Answering Pipelines., , , and . ACL (4), page 134-139. Association for Computational Linguistics, (2018)Dense vs. Sparse Representations for News Stream Clustering., , , and . Text2Story@ECIR, volume 2342 of CEUR Workshop Proceedings, page 47-52. CEUR-WS.org, (2019)Overview of the CLEF-2018 CheckThat! Lab on Automatic Identification and Verification of Political Claims. Task 2: Factuality., , , , , , , , and . CLEF (Working Notes), volume 2125 of CEUR Workshop Proceedings, CEUR-WS.org, (2018)Selecting Sentences versus Selecting Tree Constituents for Automatic Question Ranking., , , and . COLING, page 2515-2525. ACL, (2016)A tree-based kernel for graphs with continuous attributes., , and . CoRR, (2015)Global Thread-level Inference for Comment Classification in Community Question Answering., , , , , , and . EMNLP, page 573-578. The Association for Computational Linguistics, (2015)Graph Kernels exploiting Weisfeiler-Lehman Graph Isomorphism Test Extensions., , and . CoRR, (2015)