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Compound or Term Features? : Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains

, , , , and . Proceedings of SEM 2021 : The Tenth Joint Conference on Lexical and Computational Semantics, page 252-262. Stroudsburg, Association for Computational Linguistics (ACL), (2021)
DOI: 10.18653/v1/2021.starsem-1.24

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Fine-Grained Termhood Prediction for German Compound Terms Using Neural Networks., and . LAW-MWE-CxG@COLING, page 62-73. Association for Computational Linguistics, (2018)Automatic term extraction for conventional and extended term definitions across domains. Universität Stuttgart, Stuttgart, Dissertation, (2020)GhoSt-NN: A Representative Gold Standard of German Noun-Noun Compounds., , , and . LREC, European Language Resources Association (ELRA), (2016)Evaluating the Reliability and Interaction of Recursively Used Feature Classes for Terminology Extraction., , and . EACL (Student Research Workshop), page 113-121. Association for Computational Linguistics, (2017)AkkuBohrHammer vs. AkkuBohrhammer: Experiments towards the Evaluation of Compound Splitting Tools for General Language and Specific Domains., , , , , and . KONVENS, (2019)Compound or Term Features? : Analyzing Salience in Predicting the Difficulty of German Noun Compounds across Domains, , , , and . Proceedings of SEM 2021 : The Tenth Joint Conference on Lexical and Computational Semantics, page 252-262. Stroudsburg, Association for Computational Linguistics (ACL), (2021)A Laypeople Study on Terminology Identification across Domains and Task Definitions., and . NAACL-HLT (2), page 321-326. Association for Computational Linguistics, (2018)The Role of Modifier and Head Properties in Predicting the Compositionality of English and German Noun-Noun Compounds: A Vector-Space Perspective., , and . *SEM@ACL, The *SEM 2016 Organizing Committee, (2016)Predicting Degrees of Technicality in Automatic Terminology Extraction, , , and . Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, page 2883--2889. Online, Association for Computational Linguistics, (July 2020)SURel: A Gold Standard for Incorporating Meaning Shifts into Term Extraction., , and . *SEM@NAACL-HLT, page 1-8. Association for Computational Linguistics, (2019)