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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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Paper Details:
Month: September
Year: 2017
Location: Copenhagen, Denmark
Venue:
EMNLP |
Citations
URL
Card-660: Cambridge Rare Word Dataset - a Reliable Benchmark for Infrequent Word Representation Models
Mohammad Taher Pilehvar
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Dimitri Kartsaklis
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Victor Prokhorov
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Nigel Collier
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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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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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Rearranging the Familiar: Testing Compositional Generalization in Recurrent Networks
João Loula
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Marco Baroni
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Brenden Lake
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https://spacy.io/
http://clic.cimec.unitn.it/
https://github.com/
https://github.com/
Field Of Study
Linguistic Trends
Distributional Semantics
Language
English
Dataset
Encyclopedia
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