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Analyzing Argumentative Discourse Units in Online Interactions.

, , , , and . ArgMining@ACL, page 39-48. The Association for Computer Linguistics, (2014)

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Analyzing Argumentative Discourse Units in Online Interactions., , , , and . ArgMining@ACL, page 39-48. The Association for Computer Linguistics, (2014)"With 1 Follower I Must Be AWESOME : P." Exploring the Role of Irony Markers in Irony Recognition., and . ICWSM, page 588-591. AAAI Press, (2018)Exploring Recurrent, Memory and Attention Based Architectures for Scoring Interactional Aspects of Human-Machine Text Dialog., , and . CoRR, (2020)Identification of nonliteral language in social media: A case study on sarcasm., , , and . J. Assoc. Inf. Sci. Technol., 67 (11): 2725-2737 (2016)Controlled Language Generation for Language Learning Items., , and . EMNLP (Industry Track), page 294-305. Association for Computational Linguistics, (2022)FLUTE: Figurative Language Understanding through Textual Explanations., , , and . EMNLP, page 7139-7159. Association for Computational Linguistics, (2022)"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation., , and . *SEM@NAACL-HLT, page 240-257. Association for Computational Linguistics, (2022)#Criming and #Alive: Network and content analysis of two sides of a story on twitter., and . ASIST, volume 52 of Proc. Assoc. Inf. Sci. Technol., page 1-10. Wiley, (2015)Annotating Multiparty Discourse: Challenges for Agreement Metrics., , , and . LAW@COLING, page 120-128. The Association for Computer Linguistics, (2014)Effects of Topic Familiarity on Query Reformulation Strategies.. CHIIR, page 261-264. ACM, (2016)