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A Domain-Specific Dataset of Difficulty Ratings for German Noun Compounds in the Domains DIY, Cooking and Automotive.

, , , and . LREC, page 4359-4367. European Language Resources Association, (2020)

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Automatic term extraction for conventional and extended term definitions across domains. Stuttgart University, Germany, (2020)base-search.net (ftunivstutt:oai:elib.uni-stuttgart.de:11682/11136).AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains., , , , , and . KONVENS, (2019)Varying Vector Representations and Integrating Meaning Shifts into a PageRank Model for Automatic Term Extraction., , and . LREC, page 4388-4394. European Language Resources Association, (2020)SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction., , and . *SEM@NAACL-HLT, page 1-8. Association for Computational Linguistics, (2019)A Wind of Change: Detecting and Evaluating Lexical Semantic Change across Times and Domains., , , and . ACL (1), page 732-746. Association for Computational Linguistics, (2019)Predicting Degrees of Technicality in Automatic Terminology Extraction., , , and . ACL, page 2883-2889. Association for Computational Linguistics, (2020)A Domain-Specific Dataset of Difficulty Ratings for German Noun Compounds in the Domains DIY, Cooking and Automotive., , , and . LREC, page 4359-4367. European Language Resources Association, (2020)Compound or Term Features? Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains., , , , and . *SEM, page 252-262. Association for Computational Linguistics, (2021)Akku-Bohr-Hammer vs. Akku-Bohrhammer : Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains, , , , and . page 10. Erlangen, (2019)