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What’s in an Embedding? Analyzing Word Embeddings through Multilingual Evaluation
Arne Köhn
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
The Lazy Encoder: A Fine-Grained Analysis of the Role of Morphology in Neural Machine Translation
Arianna Bisazza
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Clara Tump
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Evaluating Layers of Representation in Neural Machine Translation on Part-of-Speech and Semantic Tagging Tasks
Yonatan Belinkov
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Lluís Màrquez
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Hassan Sajjad
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Nadir Durrani
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Fahim Dalvi
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James Glass
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Understanding and Improving Morphological Learning in the Neural Machine Translation Decoder
Fahim Dalvi
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Nadir Durrani
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Hassan Sajjad
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Yonatan Belinkov
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Stephan Vogel
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Intrinsic Subspace Evaluation of Word Embedding Representations
Yadollah Yaghoobzadeh
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Hinrich Schütze
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What do Neural Machine Translation Models Learn about Morphology?
Yonatan Belinkov
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Nadir Durrani
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Fahim Dalvi
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Hassan Sajjad
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James Glass
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Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
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James Glass
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Evaluating Embeddings using Syntax-based Classification Tasks as a Proxy for Parser Performance
Arne Köhn
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Evaluating Word Embeddings in Multi-label Classification Using Fine-Grained Name Typing
Yadollah Yaghoobzadeh
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Katharina Kann
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Hinrich Schütze
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Probing sentence embeddings for structure-dependent tense
Geoff Bacon
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Terry Regier
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Portable, layer-wise task performance monitoring for NLP models
Tom Lippincott
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http://arne.chark.eu/emnlp2015
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Machine Translation
Language
English
French
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