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Automatic Reconstruction of Emperor Itineraries from the Regesta Imperii.

, , , and . DATeCH, page 39-44. ACM, (2019)

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Automatic Accuracy Prediction for AMR Parsing., and . *SEM@NAACL-HLT, page 212-223. Association for Computational Linguistics, (2019)Deriving Players & Themes in the Regesta Imperii using SVMs and Neural Networks., and . LaTeCH@ACL, The Association for Computer Linguistics, (2016)Exploiting Background Knowledge for Argumentative Relation Classification., , , , , and . LDK, volume 70 of OASIcs, page 8:1-8:14. Schloss Dagstuhl - Leibniz-Zentrum für Informatik, (2019)An Argument-Marker Model for Syntax-Agnostic Proto-Role Labeling., and . *SEM@NAACL-HLT, page 224-234. Association for Computational Linguistics, (2019)Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR., and . EACL, page 1504-1518. Association for Computational Linguistics, (2021)Using Linear Classifiers for the Automatic Triage of Posts in the 2016 CLPsych Shared Task.. CLPsych@HLT-NAACL, page 162-165. The Association for Computational Linguistics, (2016)A Mention-Ranking Model for Abstract Anaphora Resolution., , , and . EMNLP, page 221-232. Association for Computational Linguistics, (2017)Dissecting Content and Context in Argumentative Relation Analysis., and . ArgMining@ACL, page 25-34. Association for Computational Linguistics, (2019)Induction of a Large-Scale Knowledge Graph from the Regesta Imperii., , and . LaTeCH@COLING, page 159-168. Association for Computational Linguistics, (2018)Macro F1 and Macro F1., and . CoRR, (2019)