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Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations.

, , , , и . FLAIRS, стр. 155-160. AAAI Press, (2019)

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Cristian Sommariva

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You can simply rely on communities for a robust characterization of stances., , , , и . FLAIRS, (2021)Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population., , , и . FLAIRS, стр. 252-257. AAAI Press, (2017)Licentia: a Tool for Supporting Users in Data Licensing on the Web of Data., , , , , и . ISWC (Posters & Demos), том 1272 из CEUR Workshop Proceedings, стр. 277-280. CEUR-WS.org, (2014)Ontology Population and Alignment for the Legal Domain: YAGO, Wikipedia and LKIF., , , и . ISWC (Posters, Demos & Industry Tracks), том 1963 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)A Study on Multiple Tasks for e-Commerce Marketplaces., и . FLAIRS, (2021)A Study on Title Encoding Methods for e-Commerce Downstream Tasks., и . FLAIRS, (2022)Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations., , , , и . FLAIRS, стр. 155-160. AAAI Press, (2019)A low-cost, high-coverage legal named entity recognizer, classifier and linker., , , и . ICAIL, стр. 9-18. ACM, (2017)Legal NERC with ontologies, Wikipedia and curriculum learning., , , и . EACL (2), стр. 254-259. Association for Computational Linguistics, (2017)Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines., , , , и . LREC, European Language Resources Association (ELRA), (2018)