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Issue DateTitleAuthor(s)
2015Translating and post-editing in the Portuguese-Chinese language pairSilva, Igor; Schmaltz, Márcia; Alves, Fábio; Pagano, Adriana; Wong, Derek; Chao, Lídia; Leal, Ana; Quaresma, Paulo; Garcia, Caio
2017Translation, post-editing and directionalitySilva, Igor; Alves, Fábio; Schmaltz, Márcia; Pagano, Adriana; Wong, Derek; Chao, Lidia; Leal, Ana; Quaresma, Paulo; Garcia, Caio; Silva, Gabriel
2014UM-Corpus: A Large English-Chinese Parallel Corpus for Statistical Machine TranslationLiang, Tian; Wong, Derek; Chao, Lidia; Quaresma, Paulo; Oliveira, Francisco; Lu, Yi; Li, Shuo; Wang, Yiming; Wang, Longyue
Sep-2004University of Évora in QA@CLEF2004Quaresma, Paulo; Quintano, Luis; Rodrigues, Irene; Saias, José; Salgueiro, Pedro
2005University of Évora in QA@CLEF-2004.Quaresma, Paulo; Quintano, Luis; Rodrigues, Irene; Saias, José; Salgueiro, Pedro
2007The University of Évora's Participation in QA@CLEF-2007Saias, José; Quaresma, Paulo
2021University teachers' conceptions of the university and the place of sustainabilityChaleta, Elisa; Saraiva, Margarida; Sebastião, Luís; Diniz, António; Leal, Fátima; Quaresma, Paulo; Rato, Luís
2021University Teachers’ Conceptions of the University and the Place of SustainabilityChaleta, Elisa; Saraiva, Margarida; Sebastião, Luis; Cid, Marília; Dinis, Antonio M.; Leal, Fátima; Quaresma, Paulo; Rato, Luis
Jun-2007Using an Extended Argumentation Framework based on Confidence Degrees for Legal Core Ontology MappingTrojahn, Cássia; Quaresma, Paulo; Vieira, Renata
2018Using clustering techniques to identify arguments in legal documentsPoudyal, Prakash; Gonçalves, Teresa; Quaresma, Paulo
Jul-2009Using graph-kernels to represent semantic information in text classificationGonçalves, Teresa; Quaresma, Paulo
2014Using Graphs and Semantic Information to Improve Text ClassifiersDas, Nibaran; Gosh, Swarnendu; Gonçalves, Teresa; Quaresma, Paulo
2004Using IR techniques to improve Automated Text ClassificationGonçalves, Teresa; Quaresma, Paulo
2010Using Linguistic Information and Machine Learning Techniques to Identify Entities from Juridical DocumentsGonçalves, Teresa; Quaresma, Paulo
Nov-2011Using machine learning algorithms to identify named entities in legal documents: a preliminary approachPoudyal, Prakash; Borrego, Luís; Quaresma, Paulo
2003Using NLP techniques to create legal ontologies in a logic programming based web informationSaias, José; Quaresma, Paulo
Oct-2008Using Quantitative Aspects of Alignment Generation for Argumentation on MappingsIsaac, Antoine; Trojahn, Cássia; Wang, Shenghui; Quaresma, Paulo
Apr-2016Using syntactic and semantic features for classifying mo- dal values in the portuguese languageSequeira, João; Gonçalves, Teresa; Quaresma, Paulo; Mendes, Amália; Hendrickx, Iris
2007Verbos do domínio jurídico: uma proposta de organização ontológica com vistas ao PLNAlves, Isa; Chishman, Rove; Quaresma, Paulo
2019Vista.ue at SemEval-2019 Task 5: Single Multilingual Hate Speech Detection ModelRaiyani, Kashyap; Gonçalves, Teresa; Quaresma, Paulo; Nogueira, Vitor
Showing results 161 to 180 of 180


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