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Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings.

, and . IWCS, page 173-183. The Association for Computer Linguistics, (2015)

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Composition Models for the Representation and Semantic Interpretation of Nominal Compounds.. University of Tübingen, Germany, (2019)A Semi-Automatic, Iterative Method for Creating a Domain-Specific Treebank., and . RANLP, page 413-419. RANLP 2011 Organising Committee, (2011)A Corpus-Based Model of Semantic Plausibility for German Bracketing Paradoxes., , , , , , , , , and . CDH@TLT, volume 1786 of CEUR Workshop Proceedings, page 64-70. CEUR-WS.org, (2017)Extracting a PP Attachment Data Set from a German Dependency Treebank Using Topological Fields., , , and . TLT, volume 1779 of CEUR Workshop Proceedings, page 89-98. CEUR-WS.org, (2017)Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds.. EMNLP, page 1637-1642. The Association for Computational Linguistics, (2015)Answering Natural Language Questions with Intui3.. CLEF (Working Notes), volume 1180 of CEUR Workshop Proceedings, page 1201-1211. CEUR-WS.org, (2014)Automatic Noun Compound Interpretation using Deep Neural Networks and Word Embeddings., and . IWCS, page 173-183. The Association for Computer Linguistics, (2015)Wikidated 1.0: An Evolving Knowledge Graph Dataset of Wikidata's Revision History., , and . Wikidata@ISWC, volume 2982 of CEUR Workshop Proceedings, CEUR-WS.org, (2021)Distributional regularities of verbs and verbal adjectives: Treebank evidence and broader implications., , , and . TLT, page 1-9. (2018)Facing complexity derived from digital transformation of public administration., , and . CSCS, page 267-272. IEEE, (2023)