Representation learning for very short texts using weighted word
embedding aggregation

Representation learning for very short texts using weighted word embedding aggregation

2 July 2016

Steven Van Canneyt

Papers citing "Representation learning for very short texts using weighted word embedding aggregation"

11 / 11 papers shown

Title
Learning Semantic Similarity for Very Short Texts Cedric De Boom Steven Van Canneyt Steven Bohez T. Demeester Bart Dhoedt 47 79 0 02 Dec 2015
A Hierarchical Recurrent Encoder-Decoder For Generative Context-Aware Query Suggestion Alessandro Sordoni Yoshua Bengio H. Vahabi Christina Lioma J. Simonsen J. Nie 3DV 76 549 0 08 Jul 2015
Skip-Thought Vectors Ryan Kiros Yukun Zhu Ruslan Salakhutdinov R. Zemel Antonio Torralba R. Urtasun Sanja Fidler SSL 182 2,405 0 22 Jun 2015
Semi-supervised Convolutional Neural Networks for Text Categorization via Region Embedding Rie Johnson Tong Zhang 56 6 0 06 Apr 2015
Convolutional Neural Network Architectures for Matching Natural Language Sentences Baotian Hu Zhengdong Lu Hang Li Qingcai Chen 62 1,336 0 11 Mar 2015
N-gram-Based Low-Dimensional Representation for Document Classification R. Lebret R. Collobert 39 9 0 19 Dec 2014
Sequence to Sequence Learning with Neural Networks Ilya Sutskever Oriol Vinyals Quoc V. Le AIMat 330 20,491 0 10 Sep 2014
Distributed Representations of Sentences and Documents Quoc V. Le Tomas Mikolov FaML 221 9,231 0 16 May 2014
A Convolutional Neural Network for Modelling Sentences Nal Kalchbrenner Edward Grefenstette Phil Blunsom 91 3,556 0 08 Apr 2014
Efficient Estimation of Word Representations in Vector Space Tomas Mikolov Kai Chen G. Corrado J. Dean 3DV 611 31,406 0 16 Jan 2013
Natural Language Processing (almost) from Scratch R. Collobert Jason Weston Léon Bottou Michael Karlen Koray Kavukcuoglu Pavel P. Kuksa 151 7,711 0 02 Mar 2011