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A temporal model of text periodicities using Gaussian Processes
Daniel Preoţiuc-Pietro
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Trevor Cohn
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Paper Details:
Month: October
Year: 2013
Location: Seattle, Washington, USA
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Joint Emotion Analysis via Multi-task Gaussian Processes
Daniel Beck
|
Trevor Cohn
|
Lucia Specia
|
Learning Kernels over Strings using Gaussian Processes
Daniel Beck
|
Trevor Cohn
|
Modelling Representation Noise in Emotion Analysis using Gaussian Processes
Daniel Beck
|
Bayesian Kernel Methods for Natural Language Processing
Daniel Beck
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Real-Time Detection, Tracking, and Monitoring of Automatically Discovered Events in Social Media
Miles Osborne
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Sean Moran
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Richard McCreadie
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Alexander Von Lunen
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Martin Sykora
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Elizabeth Cano
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Neil Ireson
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Craig Macdonald
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Iadh Ounis
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Yulan He
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Tom Jackson
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Fabio Ciravegna
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Ann O’Brien
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Gaussian Processes for Natural Language Processing
Trevor Cohn
|
Daniel Preoţiuc-Pietro
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Neil Lawrence
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Learning the Curriculum with Bayesian Optimization for Task-Specific Word Representation Learning
Yulia Tsvetkov
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Manaal Faruqui
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Wang Ling
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Brian MacWhinney
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Chris Dyer
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Learning Structural Kernels for Natural Language Processing
Daniel Beck
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Trevor Cohn
|
Christian Hardmeier
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Lucia Specia
|
Automatically Identifying Periodic Social Events from Twitter
Florian Kunneman
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Antal Van den Bosch
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Streaming Text Analytics for Real-Time Event Recognition
Philippe Thomas
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Johannes Kirschnick
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Leonhard Hennig
|
Renlong Ai
|
Sven Schmeier
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Holmer Hemsen
|
Feiyu Xu
|
Hans Uszkoreit
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Word embeddings and discourse information for Quality Estimation
Carolina Scarton
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Daniel Beck
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Kashif Shah
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Karin Sim Smith
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Lucia Specia
|
http://www.gaussianprocess.org/gpml/
https://github.com/SheffieldML/GPy
http://www.preotiuc.ro
http://arxiv.org/abs/1303.7090
Field Of Study
Task
Information Retrieval
Machine Translation
Approach
Bayesian Model
Language
English
Dataset
News
Social Media
Twitter
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