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Dependency Sensitive Convolutional Neural Networks for Modeling Sentences and Documents
Rui Zhang
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Honglak Lee
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Dragomir R. Radev
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Weighted Neural Bag-of-n-grams Model: New Baselines for Text Classification
Bofang Li
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Zhe Zhao
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Tao Liu
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Puwei Wang
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Xiaoyong Du
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Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling
Peng Zhou
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Zhenyu Qi
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Suncong Zheng
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Jiaming Xu
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Hongyun Bao
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Bo Xu
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Initializing Convolutional Filters with Semantic Features for Text Classification
Shen Li
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Zhe Zhao
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Tao Liu
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Renfen Hu
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Xiaoyong Du
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What is the Essence of a Claim? Cross-Domain Claim Identification
Johannes Daxenberger
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Steffen Eger
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Ivan Habernal
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Christian Stab
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Iryna Gurevych
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HFT-CNN: Learning Hierarchical Category Structure for Multi-label Short Text Categorization
Kazuya Shimura
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Jiyi Li
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Fumiyo Fukumoto
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From Random to Supervised: A Novel Dropout Mechanism Integrated with Global Information
Hengru Xu
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Shen Li
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Renfen Hu
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Si Li
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Sheng Gao
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https://code.google.com/p/word2vec/
http://nlp.stanford.edu/projects/glove/
Field Of Study
Linguistic Trends
Embeddings
Task
Syntactic Parsing
Sentiment Analysis
Language Generation
Summarization
Machine Translation
Approach
Deep Learning
Unsupervised Learning
Language
English
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