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A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li
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Thang Luong
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Dan Jurafsky
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Paper Details:
Month: July
Year: 2015
Location: Beijing, China
Venue:
ACL |
IJCNLP |
Citations
URL
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model
Shulei Ma
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Zhi-Hong Deng
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Yunlun Yang
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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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Capturing Pragmatic Knowledge in Article Usage Prediction using LSTMs
Jad Kabbara
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Yulan Feng
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Jackie Chi Kit Cheung
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Effective LSTMs for Target-Dependent Sentiment Classification
Duyu Tang
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Bing Qin
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Xiaocheng Feng
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Ting Liu
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Generating Reasonable and Diversified Story Ending Using Sequence to Sequence Model with Adversarial Training
Zhongyang Li
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Xiao Ding
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Ting Liu
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Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism
Liunian Li
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Xiaojun Wan
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Learning Word Meta-Embeddings by Autoencoding
Danushka Bollegala
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Cong Bao
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Learning Target-Specific Representations of Financial News Documents For Cumulative Abnormal Return Prediction
Junwen Duan
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Yue Zhang
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Xiao Ding
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Ching-Yun Chang
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Ting Liu
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deepQuest: A Framework for Neural-based Quality Estimation
Julia Ive
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Frédéric Blain
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Lucia Specia
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Incorporating Argument-Level Interactions for Persuasion Comments Evaluation using Co-attention Model
Lu Ji
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Zhongyu Wei
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Xiangkun Hu
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Yang Liu
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Qi Zhang
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Xuanjing Huang
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LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu
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Qingcai Chen
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Fangze Zhu
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Aspect Level Sentiment Classification with Deep Memory Network
Duyu Tang
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Bing Qin
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Ting Liu
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A Hierarchical Model of Reviews for Aspect-based Sentiment Analysis
Sebastian Ruder
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Parsa Ghaffari
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John G. Breslin
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Capturing User and Product Information for Document Level Sentiment Analysis with Deep Memory Network
Zi-Yi Dou
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Adversarial Learning for Neural Dialogue Generation
Jiwei Li
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Will Monroe
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Tianlin Shi
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Sébastien Jean
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Alan Ritter
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Dan Jurafsky
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Learning Generic Sentence Representations Using Convolutional Neural Networks
Zhe Gan
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Yunchen Pu
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Ricardo Henao
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Chunyuan Li
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Xiaodong He
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Lawrence Carin
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Building Context-aware Clause Representations for Situation Entity Type Classification
Zeyu Dai
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Ruihong Huang
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Generating Classical Chinese Poems via Conditional Variational Autoencoder and Adversarial Training
Juntao Li
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Yan Song
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Haisong Zhang
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Dongmin Chen
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Shuming Shi
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Dongyan Zhao
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Rui Yan
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Diversity-Promoting GAN: A Cross-Entropy Based Generative Adversarial Network for Diversified Text Generation
Jingjing Xu
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Xuancheng Ren
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Junyang Lin
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Xu Sun
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Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang
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Hung-Yi Lee
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A Skeleton-Based Model for Promoting Coherence Among Sentences in Narrative Story Generation
Jingjing Xu
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Xuancheng Ren
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Yi Zhang
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Qi Zeng
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Xiaoyan Cai
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Xu Sun
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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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Generating Sentences from a Continuous Space
Samuel R. Bowman
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Luke Vilnis
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Oriol Vinyals
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Andrew Dai
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Rafal Jozefowicz
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Samy Bengio
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Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati
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Bowen Zhou
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Cicero dos Santos
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Çağlar Gu̇lçehre
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Bing Xiang
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Character-Level Neural Translation for Multilingual Media Monitoring in the SUMMA Project
Guntis Barzdins
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Steve Renals
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Didzis Gosko
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Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan
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Shay B. Cohen
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Mirella Lapata
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Hierarchical Structured Model for Fine-to-Coarse Manifesto Text Analysis
Shivashankar Subramanian
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Trevor Cohn
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Timothy Baldwin
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Achieving Open Vocabulary Neural Machine Translation with Hybrid Word-Character Models
Minh-Thang Luong
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Christopher D. Manning
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Chunk-based Decoder for Neural Machine Translation
Shonosuke Ishiwatari
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Jingtao Yao
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Shujie Liu
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Mu Li
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Ming Zhou
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Naoki Yoshinaga
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Masaru Kitsuregawa
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Weijia Jia
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Pay Attention to the Ending:Strong Neural Baselines for the ROC Story Cloze Task
Zheng Cai
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Lifu Tu
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Kevin Gimpel
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Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
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Ronald Cardenas
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Nikos Papasarantopoulos
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Shay B. Cohen
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Mirella Lapata
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Jiangsheng Yu
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Yi Chang
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Junyang Lin
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Houfeng Wang
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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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Learning Distributed Representations of Texts and Entities from Knowledge Base
Ikuya Yamada
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Hiroyuki Shindo
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Hideaki Takeda
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Yoshiyasu Takefuji
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Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
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Hinrich Schütze
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USFD at SemEval-2016 Task 6: Any-Target Stance Detection on Twitter with Autoencoders
Isabelle Augenstein
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Andreas Vlachos
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Kalina Bontcheva
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Deep Learning Models For Multiword Expression Identification
Waseem Gharbieh
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Virendrakumar Bhavsar
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Paul Cook
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Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Minsoo Kim
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Dennis Singh Moirangthem
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Minho Lee
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Neural Associative Memory for Dual-Sequence Modeling
Dirk Weissenborn
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Learning to Embed Words in Context for Syntactic Tasks
Lifu Tu
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Kevin Gimpel
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Karen Livescu
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Predicting Success in Goal-Driven Human-Human Dialogues
Michael Noseworthy
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Jackie Chi Kit Cheung
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Joelle Pineau
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A Neural Autoencoder Approach for Document Ranking and Query Refinement in Pharmacogenomic Information Retrieval
Jonas Pfeiffer
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Samuel Broscheit
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Rainer Gemulla
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Mathias Göschl
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Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
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Jiwei Tan
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Xiaojun Wan
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No URLs Found
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Discourse Parsing
Information Retrieval
Question Answering
Language Generation
Summarization
Machine Translation
Text Organization
Language
French
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