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SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs
|
Alessandro Lenci
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Denis Paperno
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Paper Details:
Month: June
Year: 2018
Location: New Orleans, Louisiana
Venue:
*SEMEVAL |
Citations
URL
SemEval-2018 Task 10: Capturing Discriminative Attributes
Alicia Krebs
|
Alessandro Lenci
|
Denis Paperno
|
Meaning_space at SemEval-2018 Task 10: Combining explicitly encoded knowledge with information extracted from word embeddings
Pia Sommerauer
|
Antske Fokkens
|
Piek Vossen
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ELiRF-UPV at SemEval-2018 Task 10: Capturing Discriminative Attributes with Knowledge Graphs and Wikipedia
José-Ángel González
|
Lluís-F. Hurtado
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Encarna Segarra
|
Ferran Pla
|
evision PDF of 'Luminoso at SemEval-2018 Task 10: Distinguishing Attributes Using Text Corpora and Relational Knowledge
Robyn Speer
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Joanna Lowry-Duda
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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
|
Man Lan
|
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
|
Anand Kumar M
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Soman K P
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https://github.com/dpaperno/DiscriminAtt/
https://competitions.codalab.org/competitions/17326
Field Of Study
Linguistic Trends
Lexical Semantics
Embeddings
Task
Word Sense Disambiguation
Semantic Similarity
Machine Translation
Approach
Deep Learning
Language
English
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