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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 – 19 of 19 1 How Universal is Genre in Universal Dependencies? ... Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara. - : arXiv, 2021 BASE Show details 2 On the Effectiveness of Dataset Embeddings in Mono-lingual,Multi-lingual and Zero-shot Conditions ... van der Goot, Rob; Üstün, Ahmet; Plank, Barbara. - : arXiv, 2021 BASE Show details 3 Genre as Weak Supervision for Cross-lingual Dependency Parsing ... Müller-Eberstein, Max; van der Goot, Rob; Plank, Barbara. - : arXiv, 2021 BASE Show details 4 DaN+: Danish Nested Named Entities and Lexical Normalization ... Plank, Barbara; Jensen, Kristian Nørgaard; van der Goot, Rob. - : arXiv, 2021 BASE Show details 5 From Masked Language Modeling to Translation: Non-English Auxiliary Tasks Improve Zero-shot Spoken Language Understanding ... van der Goot, Rob; Sharaf, Ibrahim; Imankulova, Aizhan. - : arXiv, 2021 BASE Show details 6 Psycholinguistics meets Continual Learning: Measuring Catastrophic Forgetting in Visual Question Answering ... Greco, Claudio; Plank, Barbara; Fernández, Raquel. - : arXiv, 2019 BASE Show details 7 Universal Dependencies 2.2 Nivre, Joakim; Abrams, Mitchell; Agić, Željko... In: https://hal.archives-ouvertes.fr/hal-01930733 ; 2018 (2018) BASE Show details 8 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 9 Distant Supervision from Disparate Sources for Low-Resource Part-of-Speech Tagging ... Plank, Barbara; Agić, Željko. - : arXiv, 2018 BASE Show details 10 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 11 Bleaching Text: Abstract Features for Cross-lingual Gender Prediction ... van der Goot, Rob; Ljubešić, Nikola; Matroos, Ian. - : arXiv, 2018 BASE Show details 12 Universal Dependencies 2.1 Nivre, Joakim; Agić, Željko; Ahrenberg, Lars... In: https://hal.inria.fr/hal-01682188 ; 2017 (2017) BASE Show details 13 ALL-IN-1: Short Text Classification with One Model for All Languages ... Plank, Barbara. - : arXiv, 2017 BASE Show details 14 Parsing Universal Dependencies without training ... Alonso, Héctor Martínez; Agić, Željko; Plank, Barbara. - : arXiv, 2017 BASE Show details 15 Semantic Tagging with Deep Residual Networks ... Bjerva, Johannes; Plank, Barbara; Bos, Johan. - : arXiv, 2016 BASE Show details 16 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 17 TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling ... Verhoeven, Ben; Daelemans, Walter; Plank, Barbara. - : Zenodo, 2016 BASE Show details 18 TwiSty: a multilingual Twitter Stylometry corpus for gender and personality profiling ... Verhoeven, Ben; Daelemans, Walter; Plank, Barbara. - : Zenodo, 2016 BASE Show details 19 Keystroke dynamics as signal for shallow syntactic parsing ... Plank, Barbara. - : arXiv, 2016 Abstract: Keystroke dynamics have been extensively used in psycholinguistic and writing research to gain insights into cognitive processing. But do keystroke logs contain actual signal that can be used to learn better natural language processing models? We postulate that keystroke dynamics contain information about syntactic structure that can inform shallow syntactic parsing. To test this hypothesis, we explore labels derived from keystroke logs as auxiliary task in a multi-task bidirectional Long Short-Term Memory (bi-LSTM). Our results show promising results on two shallow syntactic parsing tasks, chunking and CCG supertagging. Our model is simple, has the advantage that data can come from distinct sources, and produces models that are significantly better than models trained on the text annotations alone. ... : In COLING 2016 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1610.03321 https://dx.doi.org/10.48550/arxiv.1610.03321 BASE Hide details

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