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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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Interactive Grounded Language Understanding in a Collaborative Environment: Retrospective on Iglu 2022 Competition., , , , , , , , , and 16 other author(s). NeurIPS (Competition and Demos), volume 220 of Proceedings of Machine Learning Research, page 204-216. PMLR, (2021)Different Flavors of Attention Networks for Argument Mining., , , and . FLAIRS, page 173-178. AAAI Press, (2019)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)Convolutional Ladder Networks for Legal NERC and the Impact of Unsupervised Data in Better Generalizations., , , , and . FLAIRS, page 155-160. AAAI Press, (2019)Learning Slowly To Learn Better: Curriculum Learning for Legal Ontology Population., , , and . FLAIRS, page 252-257. AAAI Press, (2017)Improving Grounded Language Understanding in a Collaborative Environment by Interacting with Agents Through Help Feedback., , , , , and . EACL (Findings), page 1306-1321. Association for Computational Linguistics, (2024)On Improving Summarization Factual Consistency from Natural Language Feedback., , , , , and . CoRR, (2022)Increasing Argument Annotation Reproducibility by Using Inter-annotator Agreement to Improve Guidelines., , , , and . LREC, European Language Resources Association (ELRA), (2018)Co-embeddings for Student Modeling in Virtual Learning Environments., and . UMAP, page 73-80. ACM, (2018)A low-cost, high-coverage legal named entity recognizer, classifier and linker., , , and . ICAIL, page 9-18. ACM, (2017)