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Adaptation of Discourse Parsing Models for the Portuguese Language.

, , and . BRACIS, page 140-145. IEEE Computer Society, (2015)

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Identifying Multidocument Relations., , and . NLPCS, page 60-69. SciTePress, (2010)Revisiting Cross-document Structure Theory for multi-document discourse parsing., , and . Inf. Process. Manag., 50 (2): 297-314 (2014)Rhetorical analysis based on large amount of data.. University of São Paulo, Brazil, (2016)ndltd.org (oai:agregador.ibict.br.BDTD_USP:oai:teses.usp.br:tde-13012017-103446).Multi-Document Discourse Parsing Using Traditional and Hierarchical Machine Learning., and . STIL, Brazilian Special Interest Group on Natural Language Processing, (2011)Semi-Supervised Never-Ending Learning in Rhetorical Relation Identification., , and . RANLP, page 436-442. RANLP 2015 Organising Committee / ACL, (2015)Adaptation of Discourse Parsing Models for the Portuguese Language., , and . BRACIS, page 140-145. IEEE Computer Society, (2015)Comparison of Explainable Machine-Learning Models for Decision-Making in Health Intensive Care Using SHapley Additive exPlanations., , , , and . SBSI, page 300-307. ACM, (2023)Graph Neural Networks Applied to Money Laundering Detection in Intelligent Information Systems., , and . SBSI, page 252-259. ACM, (2023)A base de dados lexical e a interface web do TeP 2.0: thesaurus eletrônico para o Português do Brasil., , , and . WebMedia (Companion), page 390-392. ACM, (2008)The Coreference Annotation of the CSTNews Corpus., , , , , , , , , and 6 other author(s). IberEval@SEPLN, volume 1881 of CEUR Workshop Proceedings, page 102-112. CEUR-WS.org, (2017)