Publication | Open Access
Will it Blend? Blending Weak and Strong Labeled Data in a Neural Network for Argumentation Mining
64
Citations
28
References
2018
Year
Unknown Venue
EngineeringMachine LearningArgumentation AnalysisTextual EntailmentMathematical LinguisticsCorpus LinguisticsLanguage ProcessingText MiningNoam SlonimNatural Language ProcessingApplied LinguisticsSyntaxBlending WeakData ScienceComputational LinguisticsLanguage StudiesArgument MiningLanguage TechnologySemantic ParsingArgumentation FrameworkEyal ShnarchArgumentation MiningLinguisticsStrong Labeled Data
Eyal Shnarch, Carlos Alzate, Lena Dankin, Martin Gleize, Yufang Hou, Leshem Choshen, Ranit Aharonov, Noam Slonim. Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers). 2018.
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