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HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity.

, , , and . SemEval@NAACL-HLT, page 595-601. The Association for Computer Linguistics, (2016)

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Understanding Trending Topics in Twitter., , and . BTW (Workshops), volume P-266 of LNI, page 375-384. GI, (2017)The First Data Science Challenge at BTW 2017., , , , , , , , , and 4 other author(s). Datenbank-Spektrum, 17 (3): 207-222 (2017)What to Do with an Airport? Mining Arguments in the German Online Participation Project Tempelhofer Feld., , and . ArgMining@ACL, The Association for Computer Linguistics, (2016)Neural Classification of Linguistic Coherence using Long Short-Term Memories., , and . FIRE, page 28-31. ACM, (2016)Pisco: A Computational Approach to Predict Personality Types from Java Source Code., , , and . FIRE (Working Notes), volume 1737 of CEUR Workshop Proceedings, page 43-47. CEUR-WS.org, (2016)HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity., , , and . SemEval@NAACL-HLT, page 595-601. The Association for Computer Linguistics, (2016)Text Mining für Online-Partizipationsverfahren: Die Notwendigkeit einer maschinell unterstützten Auswertung., , and . HMD - Praxis Wirtschaftsinform., 54 (4): 544-562 (2017)IWNLP: Inverse Wiktionary for Natural Language Processing., and . ACL (2), page 414-418. The Association for Computer Linguistics, (2015)HHU at SemEval-2018 Task 12: Analyzing an Ensemble-based Deep Learning Approach for the Argument Mining Task of Choosing the Correct Warrant., , and . SemEval@NAACL-HLT, page 1114-1119. Association for Computational Linguistics, (2018)Exploring the Effects of Cross-Genre Machine Learning for Author Profiling in PAN 2016., , and . CLEF (Working Notes), volume 1609 of CEUR Workshop Proceedings, page 970-977. CEUR-WS.org, (2016)