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Predictability of Distributional Semantics in Derivational Word Formation
Sebastian Padó
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Aurélie Herbelot
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Max Kisselew
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Jan Šnajder
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Paper Details:
Month: December
Year: 2016
Location: Osaka, Japan
Venue:
COLING |
Citations
URL
High-risk learning: acquiring new word vectors from tiny data
Aurélie Herbelot
|
Marco Baroni
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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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A La Carte Embedding: Cheap but Effective Induction of Semantic Feature Vectors
Mikhail Khodak
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Nikunj Saunshi
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Yingyu Liang
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Tengyu Ma
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Brandon Stewart
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Sanjeev Arora
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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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http://goo.gl/tiRJy0
https://code.google.com/p/word2vec/
http://www.ims.uni-stuttgart.de/data/derivsem
Field Of Study
Linguistic Trends
Discourse
Distributional Semantics
Embeddings
Typology
Psycholinguistics
Task
Tagging
Sentiment Analysis
Machine Translation
Approach
Deep Learning
Language
Multilingual
English
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