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Multichannel Variable-Size Convolution for Sentence Classification
Wenpeng Yin
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Hinrich Schütze
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Deep Neural Networks with Massive Learned Knowledge
Zhiting Hu
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Zichao Yang
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Ruslan Salakhutdinov
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Eric Xing
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Exploring Different Dimensions of Attention for Uncertainty Detection
Heike Adel
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Hinrich Schütze
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A Hybrid CNN-RNN Alignment Model for Phrase-Aware Sentence Classification
Shiou Tian Hsu
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Changsung Moon
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Paul Jones
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Nagiza Samatova
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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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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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Learning Word Meta-Embeddings
Wenpeng Yin
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Hinrich Schütze
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Harnessing Deep Neural Networks with Logic Rules
Zhiting Hu
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Xuezhe Ma
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Zhengzhong Liu
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Eduard Hovy
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Eric Xing
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Bridging CNNs, RNNs, and Weighted Finite-State Machines
Roy Schwartz
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Sam Thomson
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Noah A. Smith
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Relation extraction from clinical texts using domain invariant convolutional neural network
Sunil Sahu
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Ashish Anand
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Krishnadev Oruganty
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Mahanandeeshwar Gattu
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Assessing the Corpus Size vs. Similarity Trade-off for Word Embeddings in Clinical NLP
Kirk Roberts
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Deep learning for extracting protein-protein interactions from biomedical literature
Yifan Peng
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Zhiyong Lu
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http://help.sentiment140.com/for-students
http://www.cs.cornell.edu/people/pabo/movie-review-
http://metaoptimize.com/projects/wordreprs/
http://ai.stanford.edu/
http://nlp.stanford.edu/projects/glove/
http://ml.nec-labs.com/senna/
http://code.google.com/p/word2vec/
Field Of Study
Linguistic Trends
Embeddings
Task
Tagging
Chunking
Sentiment Analysis
Approach
Deep Learning
Language
English
Dataset
Twitter
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