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Learning Word Representations from Scarce and Noisy Data with Embedding Subspaces
Ramon Astudillo
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Silvio Amir
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Wang Ling
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Mário Silva
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Isabel Trancoso
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
Expressively vulgar: The socio-dynamics of vulgarity and its effects on sentiment analysis in social media
Isabel Cachola
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Eric Holgate
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Daniel Preoţiuc-Pietro
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Junyi Jessy Li
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HyperLex: A Large-Scale Evaluation of Graded Lexical Entailment
Ivan Vulić
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Daniela Gerz
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Douwe Kiela
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Felix Hill
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Anna Korhonen
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Modelling Context with User Embeddings for Sarcasm Detection in Social Media
Silvio Amir
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Byron C. Wallace
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Hao Lyu
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Paula Carvalho
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Mário J. Silva
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Overcoming Language Variation in Sentiment Analysis with Social Attention
Yi Yang
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Jacob Eisenstein
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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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Robust Word Vectors: Context-Informed Embeddings for Noisy Texts
Valentin Malykh
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Varvara Logacheva
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Taras Khakhulin
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https://github.com/wlin12/wang2vec
https://github.com/ramon-astudillo/
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Tagging
Sentiment Analysis
Approach
Deep Learning
Semi-supervised Learning
Dataset
Social Media
Twitter
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