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Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining.

, , , , , , , and . ACL (2), page 599-605. Association for Computational Linguistics, (2018)

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Apprentissage d'inférences par édition d'arbres pour répondre à des questions., and . CORIA-CIFED, page 685-700. ARIA-GRCE, (2016)LIMSIILES: Basic English Substitution for Student Answer Assessment at SemEval 2013., and . SemEval@NAACL-HLT, page 598-602. The Association for Computer Linguistics, (2013)A hierarchical taxonomy for classifying hardness of inference tasks., and . LREC, page 3034-3040. European Language Resources Association (ELRA), (2014)A Summarization System for Scientific Documents., , , , , , , , , and 8 other author(s). EMNLP/IJCNLP (3), page 211-216. Association for Computational Linguistics, (2019)LIMSI-CNRS@CLEF 2015: Tree Edit Beam Search for Multiple Choice Question Answering., and . CLEF (Working Notes), volume 1391 of CEUR Workshop Proceedings, CEUR-WS.org, (2015)Are You Convinced? Choosing the More Convincing Evidence with a Siamese Network., , , , , , and . ACL (1), page 967-976. Association for Computational Linguistics, (2019)Corpus Wide Argument Mining - a Working Solution., , , , , , , , , and 3 other author(s). CoRR, (2019)A Unified Kernel Approach for Learning Typed Sentence Rewritings., and . ACL (1), page 939-949. The Association for Computer Linguistics, (2015)Identification of Tasks, Datasets, Evaluation Metrics, and Numeric Scores for Scientific Leaderboards Construction., , , , and . ACL (1), page 5203-5213. Association for Computational Linguistics, (2019)TDMSci: A Specialized Corpus for Scientific Literature Entity Tagging of Tasks Datasets and Metrics., , , , and . EACL, page 707-714. Association for Computational Linguistics, (2021)