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1
Spoken dialect identification in Twitter using a multi-filter architecture ...
Abstract: This paper presents our approach for SwissText & KONVENS 2020 shared task 2, which is a multi-stage neural model for Swiss German (GSW) identification on Twitter. Our model outputs either GSW or non-GSW and is not meant to be used as a generic language identifier. Our architecture consists of two independent filters where the first one favors recall, and the second one filter favors precision (both towards GSW). Moreover, we do not use binary models (GSW vs. not-GSW) in our filters but rather a multi-class classifier with GSW being one of the possible labels. Our model reaches F1-score of 0.982 on the test set of the shared task. ...
Keyword: Computation and Language cs.CL; FOS Computer and information sciences; Machine Learning cs.LG
URL: https://arxiv.org/abs/2006.03564
https://dx.doi.org/10.48550/arxiv.2006.03564
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2
Upgrading the Newsroom: An Automated Image Selection System for News Articles ...
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3
Upgrading the Newsroom: An Automated Image Selection System for News Articles
In: http://infoscience.epfl.ch/record/280322 (2020)
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4
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task ...
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5
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia Using Character-Level Classification
In: http://infoscience.epfl.ch/record/271091 (2019)
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6
Aligning Multilingual Word Embeddings for Cross-Modal Retrieval Task
In: http://infoscience.epfl.ch/record/273261 (2019)
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7
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification ...
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8
280 Birds with One Stone: Inducing Multilingual Taxonomies from Wikipedia using Character-level Classification
In: http://infoscience.epfl.ch/record/227967 (2017)
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9
Word Embeddings for Natural Language Processing
In: http://infoscience.epfl.ch/record/221430 (2016)
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