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INESC-ID: Sentiment Analysis without Hand-Coded Features or Linguistic Resources using Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Bruno Martins
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Mario J. Silva
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Isabel Trancoso
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces
Ramon Astudillo
|
Silvio Amir
|
Wang Ling
|
Mário Silva
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Isabel Trancoso
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CUFE at SemEval-2016 Task 4: A Gated Recurrent Model for Sentiment Classification
Mahmoud Nabil
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Amir Atyia
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Mohamed Aly
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UniPI at SemEval-2016 Task 4: Convolutional Neural Networks for Sentiment Classification
Giuseppe Attardi
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Daniele Sartiano
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INESC-ID at SemEval-2016 Task 4-A: Reducing the Problem of Out-of-Embedding Words
Silvio Amir
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Ramon Astudillo
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Wang Ling
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Mário J. Silva
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Isabel Trancoso
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UWB at SemEval-2016 Task 7: Novel Method for Automatic Sentiment Intensity Determination
Ladislav Lenc
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Pavel Král
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Václav Rajtmajer
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No URLs Found
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Sentiment Analysis
Language
English
Dataset
Twitter
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