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Compositional Distributional Semantics with Long Short Term Memory
Phong Le
|
Willem Zuidema
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Paper Details:
Month: June
Year: 2015
Location: Denver, Colorado
Venue:
*SEMEVAL |
Citations
URL
Measuring the Information Content of Financial News
Ching-Yun Chang
|
Yue Zhang
|
Zhiyang Teng
|
Zahn Bozanic
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Bin Ke
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The Forest Convolutional Network: Compositional Distributional Semantics with a Neural Chart and without Binarization
Phong Le
|
Willem Zuidema
|
Fine-grained Opinion Mining with Recurrent Neural Networks and Word Embeddings
Pengfei Liu
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Shafiq Joty
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Helen Meng
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Molding CNNs for text: non-linear, non-consecutive convolutions
Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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Context-Sensitive Lexicon Features for Neural Sentiment Analysis
Zhiyang Teng
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Duy-Tin Vo
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Yue Zhang
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Contextual Bidirectional Long Short-Term Memory Recurrent Neural Network Language Models: A Generative Approach to Sentiment Analysis
Amr Mousa
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Björn Schuller
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Text Sentiment Analysis based on Fusion of Structural Information and Serialization Information
Ling Gan
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Houyu Gong
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The DCU Discourse Parser: A Sense Classification Task
Tsuyoshi Okita
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Longyue Wang
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Qun Liu
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DAG-Structured Long Short-Term Memory for Semantic Compositionality
Xiaodan Zhu
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Parinaz Sobhani
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Hongyu Guo
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Enhanced LSTM for Natural Language Inference
Qian Chen
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Xiaodan Zhu
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Zhen-Hua Ling
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Si Wei
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Hui Jiang
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Diana Inkpen
|
Head-Lexicalized Bidirectional Tree LSTMs
Zhiyang Teng
|
Yue Zhang
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Conversation Modeling on Reddit Using a Graph-Structured LSTM
Victoria Zayats
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Mari Ostendorf
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Quantifying the Vanishing Gradient and Long Distance Dependency Problem in Recursive Neural Networks and Recursive LSTMs
Phong Le
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Willem Zuidema
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http://deeplearning.net/tutorial/lstm
http://nlp.stanford.edu/sentiment/
http://nlp.stanford.edu/projects/GloVe/
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Sentiment Analysis
Language
English
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