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Capturing Discriminative Attributes in a Distributional Space: Task Proposal
Alicia Krebs
|
Denis Paperno
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
RepEval |
WS |
Citations
URL
SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs
|
Alessandro Lenci
|
Denis Paperno
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UWB at SemEval-2018 Task 10: Capturing Discriminative Attributes from Word Distributions
Tomáš Brychcín
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Tomáš Hercig
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Josef Steinberger
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Michal Konkol
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ALB at SemEval-2018 Task 10: A System for Capturing Discriminative Attributes
Bogdan Dumitru
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Alina Maria Ciobanu
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Liviu P. Dinu
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Wolves at SemEval-2018 Task 10: Semantic Discrimination based on Knowledge and Association
Shiva Taslimipoor
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Omid Rohanian
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Le An Ha
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Gloria Corpas Pastor
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Ruslan Mitkov
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BomJi at SemEval-2018 Task 10: Combining Vector-, Pattern- and Graph-based Information to Identify Discriminative Attributes
Enrico Santus
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Chris Biemann
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Emmanuele Chersoni
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ECNU at SemEval-2018 Task 10: Evaluating Simple but Effective Features on Machine Learning Methods for Semantic Difference Detection
Yunxiao Zhou
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Man Lan
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Yuanbin Wu
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AmritaNLP at SemEval-2018 Task 10: Capturing discriminative attributes using convolution neural network over global vector representation.
Vivek Vinayan
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Anand Kumar M
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Soman K P
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UMD at SemEval-2018 Task 10: Can Word Embeddings Capture Discriminative Attributes?
Alexander Zhang
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Marine Carpuat
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No URLs Found
Field Of Study
Task
Language Understanding
Semantic Similarity
Machine Translation
Language
English
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