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EVALution 1.0: an Evolving Semantic Dataset for Training and Evaluation of Distributional Semantic Models., , , and . LDL@IJCNLP, page 64-69. Association for Computational Linguistics, (2015)Can Discourse Relations be Identified Incrementally?, , and . IJCNLP(2), page 157-162. Asian Federation of Natural Language Processing, (2017)Analysis and Prediction of Unalignable Words in Parallel Text., , and . EACL, page 190-194. The Association for Computer Linguistics, (2014)Investigating Explicitation of Discourse Connectives in Translation using Automatic Annotations., , , , and . SIGDIAL, page 21-30. Association for Computational Linguistics, (2023)Design Choices for Crowdsourcing Implicit Discourse Relations: Revealing the Biases Introduced by Task Design., , , , , and . Trans. Assoc. Comput. Linguistics, (2023)Construction of English MWE Dictionary and its Application to POS Tagging., , , , , , , , and . MWE@NAACL-HLT, page 139-144. The Association for Computer Linguistics, (2013)978-1-937284-47-3.Crowdsourcing Discourse Relation Annotations by a Two-Step Connective Insertion Task., , and . LAW@ACL, page 16-25. Association for Computational Linguistics, (2019)Establishing Annotation Quality in Multi-label Annotations., , , and . COLING, page 3659-3668. International Committee on Computational Linguistics, (2022)Modelling the Usage of Discourse Connectives as Rational Speech Acts., , , and . CoNLL, page 302-313. ACL, (2016)A Psycholinguistic Model for the Marking of Discourse Relations., , , and . D&D, 8 (1): 106-131 (2017)