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Recurrent Memory Networks for Language Modeling
Ke Tran
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Arianna Bisazza
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Christof Monz
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
|
Li Dong
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Mirella Lapata
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Cached Long Short-Term Memory Neural Networks for Document-Level Sentiment Classification
Jiacheng Xu
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Danlu Chen
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Xipeng Qiu
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Xuanjing Huang
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Integrating Order Information and Event Relation for Script Event Prediction
Zhongqing Wang
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Yue Zhang
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Ching-Yun Chang
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Opinion Recommendation Using A Neural Model
Zhongqing Wang
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Yue Zhang
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Dynamic Entity Representations in Neural Language Models
Yangfeng Ji
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Chenhao Tan
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Sebastian Martschat
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Yejin Choi
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Noah A. Smith
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The Importance of Being Recurrent for Modeling Hierarchical Structure
Ke Tran
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Arianna Bisazza
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Christof Monz
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A Neural Language Model for Dynamically Representing the Meanings of Unknown Words and Entities in a Discourse
Sosuke Kobayashi
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Naoaki Okazaki
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Kentaro Inui
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Deep Fusion LSTMs for Text Semantic Matching
Pengfei Liu
|
Xipeng Qiu
|
Jifan Chen
|
Xuanjing Huang
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Topically Driven Neural Language Model
Jey Han Lau
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Timothy Baldwin
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Trevor Cohn
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Unsupervised Neural Hidden Markov Models
Ke M. Tran
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Yonatan Bisk
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Ashish Vaswani
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Daniel Marcu
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Kevin Knight
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https://github.com/
Field Of Study
Linguistic Trends
Embeddings
Task
Machine Translation
Approach
Deep Learning
Representation Learning
Language
English
Dataset
News
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