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NLP-based Ontology Learning from Legal Texts. A Case Study.

, , , and . LOAIT, volume 321 of CEUR Workshop Proceedings, page 113-129. CEUR-WS.org, (2007)

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Creation and Use of Lexicons and Ontologies for NL Interfaces to Databases., , , , , , , and . LREC, page 219-224. European Language Resources Association (ELRA), (2006)Not all arguments are processed equally: a distributional model of argument complexity., , , , and . Lang. Resour. Evaluation, 55 (4): 873-900 (2021)Nine Features in a Random Forest to Learn Taxonomical Semantic Relations., , , , and . LREC, European Language Resources Association (ELRA), (2016)Event knowledge in large language models: the gap between the impossible and the unlikely., , , , , , , and . CoRR, (2022)Computational Models of Language Meaning in Context (Dagstuhl Seminar 13462)., , and . Dagstuhl Reports, 3 (11): 79-116 (2013)The Structure of Predication.. Synthese, 114 (2): 233-276 (1998)Same same but different: Type and typicality in a distributional model of complement coercion, , and . Word Structure and Word Usage. Proceedings of the NetWordS Final Conference. Pisa, March 30-April 1, 2015, page 91--94. Pisa, Italy, (2015)Comparing Probabilistic, Distributional and Transformer-Based Models on Logical Metonymy Interpretation., , , , and . AACL/IJCNLP, page 224-234. Association for Computational Linguistics, (2020)ROOT13: Spotting Hypernyms, Co-Hyponyms and Randoms., , , , and . AAAI, page 4262-4263. AAAI Press, (2016)Is Structure Necessary for Modeling Argument Expectations in Distributional Semantics?, , , and . IWCS(1), The Association for Computer Linguistics, (2017)