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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 "Disrupted Language" : zur Heimat der Sprache unter Emigranten Seeba, Hinrich C. [Verfasser]. - Frankfurt am Main : Universitätsbibliothek Johann Christian Senckenberg, 2018 DNB Subject Category Language Show details 2 Geschichte der mecklenburgischen Regionalsprache seit dem Zweiten Weltkrieg : Varietätenkontakt zwischen Alteingesessenen und immigrierten Vertriebenen. Teil 1: Sprachsystemgeschichte Ehlers, Klaas-Hinrich [Verfasser]. - Frankfurt a.M. : Peter Lang GmbH, Internationaler Verlag der Wissenschaften, 2018 DNB Subject Category Language Show details 3 Geschichte der mecklenburgischen Regionalsprache seit dem Zweiten Weltkrieg : Varietätenkontakt zwischen Alteingesessenen und immigrierten Vertriebenen Ehlers, Klaas-Hinrich [Verfasser]. - Berlin : Peter Lang, 2018 DNB Subject Category Language Show details 4 Evaluating neural network explanation methods using hybrid documents and morphosyntactic agreement Miyao, Yusuke; Poerner, Nina; Roth, Benjamin. - : Ludwig-Maximilians-Universität München, 2018 BASE Show details 5 Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing Yaghoobzadeh, Yadollah; Schütze, Hinrich; Riloff, Ellen. - : Ludwig-Maximilians-Universität München, 2018 BASE Show details 6 Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms Schütze, Hinrich; Yin, Wenpeng In: Transactions of the Association for Computational Linguistics (2018) BASE Show details 7 A Stronger Baseline for Multilingual Word Embeddings Dufter, Philipp; Schütze, Hinrich. - 2018 BASE Show details 8 Embedding Learning Through Multilingual Concept Induction Fraser, Alexander; Zhao, Mengjie; Dufter, Philipp. - : Ludwig-Maximilians-Universität München, 2018 BASE Show details 9 Recurrent One-Hop Predictions for Reasoning over Knowledge Graphs Isabelle, Pierre; Bender, Emily M.; Schütze, Hinrich. - : Ludwig-Maximilians-Universität München, 2018 BASE Show details 10 Embedding Learning Through Multilingual Concept Induction ... Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : arXiv, 2018 BASE Show details 11 Neural Semi-Markov Conditional Random Fields for Robust Character-Based Part-of-Speech Tagging ... Kemos, Apostolos; Adel, Heike; Schütze, Hinrich. - : arXiv, 2018 BASE Show details 12 Fortification of Neural Morphological Segmentation Models for Polysynthetic Minimal-Resource Languages ... Kann, Katharina; Mager, Manuel; Meza-Ruiz, Ivan. - : arXiv, 2018 BASE Show details 13 Multilingual Embeddings Jointly Induced from Contexts and Concepts: Simple, Strong and Scalable ... Dufter, Philipp; Zhao, Mengjie; Schütze, Hinrich. - : arXiv, 2018 Abstract: Word embeddings induced from local context are prevalent in NLP. A simple and effective context-based multilingual embedding learner is Levy et al. (2017)'s S-ID (sentence ID) method. Another line of work induces high-performing multilingual embeddings from concepts (Dufter et al., 2018). In this paper, we propose Co+Co, a simple and scalable method that combines context-based and concept-based learning. From a sentence aligned corpus, concepts are extracted via sampling; words are then associated with their concept ID and sentence ID in embedding learning. This is the first work that successfully combines context-based and concept-based embedding learning. We show that Co+Co performs well for two different application scenarios: the Parallel Bible Corpus (1000+ languages, low-resource) and EuroParl (12 languages, high-resource). Among methods applicable to both corpora, Co+Co performs best in our evaluation setup of six tasks. ... Keyword: Computation and Language cs.CL; FOS Computer and information sciences URL: https://arxiv.org/abs/1811.00586 https://dx.doi.org/10.48550/arxiv.1811.00586 BASE Hide details 14 Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing ... Yaghoobzadeh, Yadollah; Schütze, Hinrich. - : arXiv, 2018 BASE Show details 15 A Stronger Baseline for Multilingual Word Embeddings ... Dufter, Philipp; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018 BASE Show details 16 Multi-Multi-View Learning: Multilingual and Multi-Representation Entity Typing ... Yaghoobzadeh, Yadollah; Schütze, Hinrich. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018 BASE Show details 17 Embedding Learning Through Multilingual Concept Induction ... Dufter, Philipp; Zhao, Mengjie; Schmitt, Martin. - : Universitätsbibliothek der Ludwig-Maximilians-Universität München, 2018 BASE Show details 18 Replicated Siamese LSTM in Ticketing System for Similarity Learning and Retrieval in Asymmetric Texts ... Gupta, Pankaj; Andrassy, Bernt; Schütze, Hinrich. - : arXiv, 2018 BASE Show details 19 Joint Bootstrapping Machines for High Confidence Relation Extraction ... Gupta, Pankaj; Roth, Benjamin; Schütze, Hinrich. - : arXiv, 2018 BASE Show details

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