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Evaluating Word Embeddings Using a Representative Suite of Practical Tasks
Neha Nayak
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Gabor Angeli
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Christopher D. Manning
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
RepEval |
WS |
Citations
URL
What’s in Your Embedding, And How It Predicts Task Performance
Anna Rogers
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Shashwath Hosur Ananthakrishna
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Anna Rumshisky
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Transparent, Efficient, and Robust Word Embedding Access with WOMBAT
Mark-Christoph Müller
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Michael Strube
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A Simple Regularization-based Algorithm for Learning Cross-Domain Word Embeddings
Wei Yang
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Wei Lu
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Vincent Zheng
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Geographical Evaluation of Word Embeddings
Michal Konkol
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Tomáš Brychcín
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Michal Nykl
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Tomáš Hercig
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SentEval: An Evaluation Toolkit for Universal Sentence Representations
Alexis Conneau
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Douwe Kiela
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Towards Qualitative Word Embeddings Evaluation: Measuring Neighbors Variation
Bénédicte Pierrejean
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Ludovic Tanguy
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Predicting Word Embeddings Variability
Bénédicte Pierrejean
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Ludovic Tanguy
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Incorporating Subword Information into Matrix Factorization Word Embeddings
Alexandre Salle
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Aline Villavicencio
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http://veceval.com/
http://www.wordvectors.org
Field Of Study
Linguistic Trends
Lexical Semantics
Embeddings
Task
Tagging
Chunking
Named Entity Recognition
Approach
Deep Learning
Language
English
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