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Obtaining a Better Understanding of Distributional Models of German Derivational Morphology
Max Kisselew
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Sebastian Padó
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Alexis Palmer
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Jan Šnajder
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Paper Details:
Month: April
Year: 2015
Location: London, UK
Venue:
IWCS |
WS |
SIG: SIGSEM
Citations
URL
Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Padó
|
Aurélie Herbelot
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Max Kisselew
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Jan Šnajder
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Reverse-engineering Language: A Study on the Semantic Compositionality of German Compounds
Corina Dima
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High-risk learning: acquiring new word vectors from tiny data
Aurélie Herbelot
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Marco Baroni
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Memory, Show the Way: Memory Based Few Shot Word Representation Learning
Jingyuan Sun
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Shaonan Wang
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Chengqing Zong
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Context-Aware Prediction of Derivational Word-forms
Ekaterina Vylomova
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Ryan Cotterell
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Timothy Baldwin
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Trevor Cohn
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Joint Semantic Synthesis and Morphological Analysis of the Derived Word
Ryan Cotterell
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Hinrich Schütze
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Improving Zero-Shot-Learning for German Particle Verbs by using Training-Space Restrictions and Local Scaling
Maximilian Köper
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Sabine Schulte im Walde
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Max Kisselew
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Sebastian Padó
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Are doggies really nicer than dogs? The impact of morphological derivation on emotional valence in German
Gabriella Lapesa
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Sebastian Padó
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Tillmann Pross
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Antje Rossdeutscher
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Modeling Derivational Morphology in Ukrainian
Mariia Melymuka
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Gabriella Lapesa
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Max Kisselew
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Sebastian Padó
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No URLs Found
Field Of Study
Linguistic Trends
Morphology
Language
English
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