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Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention.

, , , , and . *SEM, page 230-240. Association for Computational Linguistics, (2017)

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Category Development at the Interface of Interpretive Pragmalinguistic Annotation and Machine Learning: Annotation, Detection and Classification of linguistic routines of discourse referencing in political debates., , , and . Digit. Humanit. Q., (2023)Assessing the Difficulty of Classifying ConceptNet Relations in a Multi-Label Classification Setting., , , and . RELATIONS@IWCS, page 1-14. Association for Computational Linguistics, (2019)Argumentative Relation Classification with Background Knowledge., , , , , and . COMMA, volume 326 of Frontiers in Artificial Intelligence and Applications, page 319-330. IOS Press, (2020)Enriching Argumentative Texts with Implicit Knowledge., , , and . NLDB, volume 10260 of Lecture Notes in Computer Science, page 84-96. Springer, (2017)Gradient-based Solution of Maximum Likelihood Angle Estimation for Virtual Array Measurements., , , , , , and . GlobalSIP, page 1257-1261. IEEE, (2018)Klugheit (ΦΡΟΝΗΣΙΣ) im Argumentationszusammenhang der Stromateis des Clemens Alexandrinus. Jahrbuch fur Antike und Christentum, (2000)Argumentative texts and clause types., , and . ArgMining@ACL, The Association for Computer Linguistics, (2016)COCO-EX: A Tool for Linking Concepts from Texts to ConceptNet., , and . EACL (System Demonstrations), page 119-126. Association for Computational Linguistics, (2021)Classifying Semantic Clause Types: Modeling Context and Genre Characteristics with Recurrent Neural Networks and Attention., , , , and . *SEM, page 230-240. Association for Computational Linguistics, (2017)Implicit Knowledge in Argumentative Texts: An Annotated Corpus., , and . CoRR, (2019)