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Legal NERC with ontologies, Wikipedia and curriculum learning.

, , , and . EACL (2), page 254-259. Association for Computational Linguistics, (2017)

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A procedure to automatically enrich verbal lexica with subcategorization frames., , and . Inteligencia Artif., 12 (37): 45-53 (2008)Discourse Marker characterisation via clustering: extrapolation from supervised to unsupervised corpora., , , and . Proces. del Leng. Natural, (2002)Which Argumentative Aspects of Hate Speech in Social Media can be reliably identified?, , , , , and . CoRR, (2023)Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF., , , and . ISWC (Posters, Demos & Industry Tracks), volume 1963 of CEUR Workshop Proceedings, CEUR-WS.org, (2017)Clustering Adjectives for Class Discovery., and . EACL, page 9-16. The Association for Computer Linguistics, (2003)A low-cost, high-coverage legal named entity recognizer, classifier and linker., , , and . ICAIL, page 9-18. ACM, (2017)Designing topic shifts with graphs., and . Inteligencia Artif., 11 (36): 27-34 (2007)Learning to Learn Biological Relations from a Small Training Set., and . CICLing, volume 5449 of Lecture Notes in Computer Science, page 418-429. Springer, (2009)Co-embeddings for Student Modeling in Virtual Learning Environments., and . UMAP, page 73-80. ACM, (2018)Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines., , , , and . LREC, European Language Resources Association (ELRA), (2018)