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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 – 18 of 18 1 Inducing Language-Agnostic Multilingual Representations ... Zhao, Wei; Eger, Steffen; Bjerva, Johannes. - : arXiv, 2020 BASE Show details 2 Zero-Shot Cross-Lingual Transfer with Meta Learning ... Nooralahzadeh, Farhad; Bekoulis, Giannis; Bjerva, Johannes. - : arXiv, 2020 BASE Show details 3 SIGTYP 2020 Shared Task: Prediction of Typological Features ... Bjerva, Johannes; Salesky, Elizabeth; Mielke, Sabrina J.. - : arXiv, 2020 BASE Show details 4 Uncovering Probabilistic Implications in Typological Knowledge Bases ... Bjerva, Johannes; Kementchedjhieva, Yova; Cotterell, Ryan. - : arXiv, 2019 BASE Show details 5 Back to the Future -- Sequential Alignment of Text Representations ... Bjerva, Johannes; Kouw, Wouter; Augenstein, Isabelle. - : arXiv, 2019 Abstract: Language evolves over time in many ways relevant to natural language processing tasks. For example, recent occurrences of tokens 'BERT' and 'ELMO' in publications refer to neural network architectures rather than persons. This type of temporal signal is typically overlooked, but is important if one aims to deploy a machine learning model over an extended period of time. In particular, language evolution causes data drift between time-steps in sequential decision-making tasks. Examples of such tasks include prediction of paper acceptance for yearly conferences (regular intervals) or author stance prediction for rumours on Twitter (irregular intervals). Inspired by successes in computer vision, we tackle data drift by sequentially aligning learned representations. We evaluate on three challenging tasks varying in terms of time-scales, linguistic units, and domains. These tasks show our method outperforming several strong baselines, including using all available data. We argue that, due to its low computational ... : AAAI 2020 ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning stat.ML URL: https://arxiv.org/abs/1909.03464 https://dx.doi.org/10.48550/arxiv.1909.03464 BASE Hide details 6 What do Language Representations Really Represent? ... Bjerva, Johannes; Östling, Robert; Veiga, Maria Han. - : arXiv, 2019 BASE Show details 7 What Do Language Representations Really Represent? Augenstein, Isabelle; Östling, Robert; Veiga, Maria Han... In: Bjerva, Johannes; Östling, Robert; Veiga, Maria Han; Tiedemann, Jörg; Augenstein, Isabelle (2019). What Do Language Representations Really Represent? Computational Linguistics, 45(2):381-389. (2019) BASE Show details 8 Copenhagen at CoNLL--SIGMORPHON 2018: Multilingual Inflection in Context with Explicit Morphosyntactic Decoding ... Kementchedjhieva, Yova; Bjerva, Johannes; Augenstein, Isabelle. - : arXiv, 2018 BASE Show details 9 Parameter sharing between dependency parsers for related languages ... de Lhoneux, Miryam; Bjerva, Johannes; Augenstein, Isabelle. - : arXiv, 2018 BASE Show details 10 Multitask and Multilingual Modelling for Lexical Analysis ... Bjerva, Johannes. - : arXiv, 2018 BASE Show details 11 From Phonology to Syntax: Unsupervised Linguistic Typology at Different Levels with Language Embeddings ... Bjerva, Johannes; Augenstein, Isabelle. - : arXiv, 2018 BASE Show details 12 The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations Abzianidze, Lasha; Bjerva, Johannes; Evang, Kilian... In: 15th Conference of the European Chapter of the Association for Computational Linguistics ; https://hal.archives-ouvertes.fr/hal-01630960 ; 15th Conference of the European Chapter of the Association for Computational Linguistics, Apr 2017, Valencia, Spain. pp.242 - 247 (2017) BASE Show details 13 Tracking Typological Traits of Uralic Languages in Distributed Language Representations ... Bjerva, Johannes; Augenstein, Isabelle. - : arXiv, 2017 BASE Show details 14 Articulation rate in Swedish child-directed speech increases as a function of the age of the child even when surprisal is controlled for ... Sjons, Johan; Hörberg, Thomas; Östling, Robert. - : arXiv, 2017 BASE Show details 15 One Model to Rule them all: Multitask and Multilingual Modelling for Lexical Analysis ... Bjerva, Johannes. - : arXiv, 2017 BASE Show details 16 The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations ... Abzianidze, Lasha; Bjerva, Johannes; Evang, Kilian. - : arXiv, 2017 BASE Show details 17 Rethinking intertextuality through a word-space and social network approach – the case of Cassiodorus Bjerva, Johannes; Praet, Raf In: https://hal.archives-ouvertes.fr/hal-01279833 ; 2016 (2016) BASE Show details 18 Semantic Tagging with Deep Residual Networks ... Bjerva, Johannes; Plank, Barbara; Bos, Johan. - : arXiv, 2016 BASE Show details

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