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When Sparse Traditional Models Outperform Dense Neural Networks: the Curious Case of Discriminating between Similar Languages
Maria Medvedeva
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Martin Kroon
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Barbara Plank
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Paper Details:
Month: April
Year: 2017
Location: Valencia, Spain
Venue:
VarDial |
WS |
Citations
URL
Using Social Networks to Improve Language Variety Identification with Neural Networks
Yasuhide Miura
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Tomoki Taniguchi
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Motoki Taniguchi
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Shotaro Misawa
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Tomoko Ohkuma
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All-In-1 at IJCNLP-2017 Task 4: Short Text Classification with One Model for All Languages
Barbara Plank
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Tübingen-Oslo at SemEval-2018 Task 2: SVMs perform better than RNNs in Emoji Prediction
Çağrı Çöltekin
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Taraka Rama
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Findings of the VarDial Evaluation Campaign 2017
Marcos Zampieri
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Shervin Malmasi
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Nikola Ljubešić
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Preslav Nakov
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Ahmed Ali
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Jörg Tiedemann
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Yves Scherrer
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Noëmi Aepli
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Neural Networks and Spelling Features for Native Language Identification
Johannes Bjerva
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Gintarė Grigonytė
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Robert Östling
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Barbara Plank
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Tübingen-Oslo Team at the VarDial 2018 Evaluation Campaign: An Analysis of N-gram Features in Language Variety Identification
Çağrı Çöltekin
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Taraka Rama
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Verena Blaschke
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When Simple n-gram Models Outperform Syntactic Approaches: Discriminating between Dutch and Flemish
Martin Kroon
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Masha Medvedeva
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Barbara Plank
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The Data Challenge in Misinformation Detection: Source Reputation vs. Content Veracity
Fatemeh Torabi Asr
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Maite Taboada
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https://github.com/CLD2Owners/cld2
Field Of Study
Linguistic Trends
Embeddings
Task
Language Identification
Approach
Deep Learning
Language
Malay
Spanish
French
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