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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 Hits 1 – 9 of 9 1 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 2 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 3 Universal Dependencies 1.4 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016 BASE Show details 4 Universal Dependencies 1.3 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars. - : Universal Dependencies Consortium, 2016 BASE Show details 5 Semantic Tagging with Deep Residual Networks ... Bjerva, Johannes; Plank, Barbara; Bos, Johan. - : arXiv, 2016 BASE Show details 6 Multilingual Part-of-Speech Tagging with Bidirectional Long Short-Term Memory Models and Auxiliary Loss ... Plank, Barbara; Søgaard, Anders; Goldberg, Yoav. - : arXiv, 2016 BASE Show details 7 TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling ... Verhoeven, Ben; Daelemans, Walter; Plank, Barbara. - : Zenodo, 2016 BASE Show details 8 TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling ... Verhoeven, Ben; Daelemans, Walter; Plank, Barbara. - : Zenodo, 2016 BASE Show details 9 Keystroke dynamics as signal for shallow syntactic parsing ... Plank, Barbara. - : arXiv, 2016 BASE Show details

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