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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 Hits 21 – 40 of 49 21 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 22 Universal Dependencies 2.3 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 23 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko. - : Universal Dependencies Consortium, 2018 BASE Show details 24 Beyond task success: A closer look at jointly learning to see, ask, and GuessWhat ... Shekhar, Ravi; Venkatesh, Aashish; Baumgärtner, Tim. - : arXiv, 2018 BASE Show details 25 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ... Plank, Barbara; Agić, Željko. - : arXiv, 2018 BASE Show details 26 The Best of Both Worlds: Lexical Resources To Improve Low-Resource Part-of-Speech Tagging ... Plank, Barbara; Klerke, Sigrid; Agic, Zeljko. - : arXiv, 2018 BASE Show details 27 Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ... van der Goot, Rob; Ljubešić, Nikola; Matroos, Ian. - : arXiv, 2018 BASE Show details 28 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details 29 When is multitask learning effective? Semantic sequence prediction under varying data conditions Martinez Alonso, Hector; Plank, Barbara In: EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01677427 ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.1-10 ; http://eacl2017.org/ (2017) BASE Show details 30 Parsing Universal Dependencies without training Martinez Alonso, Hector; Agić, Željko; Plank, Barbara... In: Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01677405 ; EACL 2017 - 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.229 - 239 ; http://eacl2017.org/ (2017) BASE Show details 31 Universal Dependencies 2.0 alpha (obsolete) Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 32 Universal Dependencies 2.0 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 33 Universal Dependencies 2.0 – CoNLL 2017 Shared Task Development and Test Data Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 34 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2017 BASE Show details 35 ALL-IN-1: Short Text Classification with One Model for All Languages ... Plank, Barbara. - : arXiv, 2017 BASE Show details 36 Parsing Universal Dependencies without training ... Alonso, Héctor Martínez; Agić, Željko; Plank, Barbara. - : arXiv, 2017 BASE Show details 37 Multilingual Projection for Parsing Truly Low-Resource Languageš Agic, Zeljko; Johannsen, Anders; Plank, Barbara... In: EISSN: 2307-387X ; Transactions of the Association for Computational Linguistics ; https://hal.inria.fr/hal-01426754 ; Transactions of the Association for Computational Linguistics, The MIT Press, 2016 (2016) BASE Show details 38 Supersense tagging with inter-annotator disagreement Martinez Alonso, Hector; Johannsen, Anders; Plank, Barbara In: Linguistic Annotation Workshop 2016 ; https://hal.inria.fr/hal-01426747 ; Linguistic Annotation Workshop 2016, Aug 2016, Berlin, Germany. pp.43 - 48 (2016) Abstract: International audience ; Linguistic annotation underlies many successful approaches in Natural Language Processing (NLP), where the annotated corpora are used for training and evaluating supervised learners. The consistency of annotation limits the performance of supervised models, and thus a lot of effort is put into obtaining high-agreement annotated datasets. Recent research has shown that annotation disagreement is not random noise, but carries a systematic signal that can be used for improving the supervised learner. However, prior work was limited in scope, focusing only on part-of-speech tagging in a single language. In this paper we broaden the experiments to a semantic task (supersense tagging) using multiple languages. In particular, we analyse how systematic disagreement is for sense annotation, and we present a preliminary study of whether patterns of disagreements transfer across languages. Keyword: [SHS.LANGUE]Humanities and Social Sciences/Linguistics; [STAT.ML]Statistics [stat]/Machine Learning [stat.ML]; inter-anotator disagreement; NLP; supersenses URL: https://hal.inria.fr/hal-01426747 https://hal.inria.fr/hal-01426747/document https://hal.inria.fr/hal-01426747/file/W16-1706.pdf BASE Hide details 39 Universal Dependencies 1.4 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016 BASE Show details 40 Universal Dependencies 1.3 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016 BASE Show details Page: 1 2 3

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