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A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries.

, , , , and . QoMEX, page 1-3. IEEE, (2019)

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A Crowdsourcing Approach to Evaluate the Quality of Query-based Extractive Text Summaries., , , , and . QoMEX, page 1-3. IEEE, (2019)Relation- and Phrase-level Linking of FrameNet with Sar-graphs., , , , and . LREC, European Language Resources Association (ELRA), (2016)An analysis of textual inference in German customer emails., , and . *SEM@COLING, page 69-74. The *SEM 2014 Organizing Committee, (2014)Common Round: Application of Language Technologies to Large-Scale Web Debates., , , , , , , , , and 5 other author(s). EACL (Software Demonstrations), page 5-8. Association for Computational Linguistics, (2017)Sar-graphs: A Linked Linguistic Knowledge Resource Connecting Facts with Language., , , , and . LDL@IJCNLP, page 30-38. Association for Computational Linguistics, (2015)A Corpus Study and Annotation Schema for Named Entity Recognition and Relation Extraction of Business Products., , , and . LREC, European Language Resources Association (ELRA), (2018)A German Corpus for Fine-Grained Named Entity Recognition and Relation Extraction of Traffic and Industry Events., , , , , and . LREC, European Language Resources Association (ELRA), (2018)A Domain-adapted Dependency Parser for German Clinical Text., , , , , and . KONVENS, page 12-17. Österreichische Akademie der Wissenschaften, (2018)