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A Comparative Study on Regularization Strategies for Embedding-based Neural Networks
Hao Peng
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Lili Mou
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Ge Li
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Yunchuan Chen
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Yangyang Lu
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Zhi Jin
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Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
Sequence to Backward and Forward Sequences: A Content-Introducing Approach to Generative Short-Text Conversation
Lili Mou
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Yiping Song
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Rui Yan
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Ge Li
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Lu Zhang
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Zhi Jin
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How Transferable are Neural Networks in NLP Applications?
Lili Mou
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Zhao Meng
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Rui Yan
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Ge Li
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Yan Xu
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Lu Zhang
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Zhi Jin
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Natural Language Inference by Tree-Based Convolution and Heuristic Matching
Lili Mou
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Rui Men
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Ge Li
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Yan Xu
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Lu Zhang
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Rui Yan
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Zhi Jin
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Hierarchical Convolutional Attention Networks for Text Classification
Shang Gao
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Arvind Ramanathan
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Georgia Tourassi
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http://www.aclweb.org/anthology/S10-1006
http://nlp.stanford.edu/sentiment/
https://sites.google.com/site/regembeddingnn/
Field Of Study
Linguistic Trends
Embeddings
Task
Named Entity Recognition
Relation Extraction
Sentiment Analysis
Language
English
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