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Recursive Neural Networks Can Learn Logical Semantics
Samuel R. Bowman
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Christopher Potts
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Christopher D. Manning
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
CVSC |
WS |
Citations
URL
A large annotated corpus for learning natural language inference
Samuel R. Bowman
|
Gabor Angeli
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Christopher Potts
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Christopher D. Manning
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Lifted Rule Injection for Relation Embeddings
Thomas Demeester
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Tim Rocktäschel
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Sebastian Riedel
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Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
Wenpeng Yin
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Hinrich Schütze
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Using Context Events in Neural Network Models for Event Temporal Status Identification
Zeyu Dai
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Wenlin Yao
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Ruihong Huang
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Neural Tensor Networks with Diagonal Slice Matrices
Takahiro Ishihara
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Katsuhiko Hayashi
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Hitoshi Manabe
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Masashi Shimbo
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Masaaki Nagata
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Compositional Vector Space Models for Knowledge Base Completion
Arvind Neelakantan
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Benjamin Roth
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Andrew McCallum
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Liberal Event Extraction and Event Schema Induction
Lifu Huang
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Taylor Cassidy
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Xiaocheng Feng
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Heng Ji
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Clare R. Voss
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Jiawei Han
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Avirup Sil
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Learning to Make Inferences in a Semantic Parsing Task
Kyle Richardson
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Jonas Kuhn
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ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
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Hinrich Schütze
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Bing Xiang
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Bowen Zhou
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VectorSLU: A Continuous Word Vector Approach to Answer Selection in Community Question Answering Systems
Yonatan Belinkov
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Mitra Mohtarami
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Scott Cyphers
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James Glass
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Quantificational features in distributional word representations
Tal Linzen
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Emmanuel Dupoux
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Benjamin Spector
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Named Graphs for Semantic Representation
Richard Crouch
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Aikaterini-Lida Kalouli
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A Vector Space Approach for Aspect Based Sentiment Analysis
Abdulaziz Alghunaim
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Mitra Mohtarami
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Scott Cyphers
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Jim Glass
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Cross-Lingual Argumentative Relation Identification: from English to Portuguese
Gil Rocha
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Christian Stab
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Henrique Lopes Cardoso
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Iryna Gurevych
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http://stanford.edu/
Field Of Study
Linguistic Trends
Embeddings
Task
Textual Entailment
Sentiment Analysis
Language
English
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