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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra
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Michael Auli
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Alexander M. Rush
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Paper Details:
Month: June
Year: 2016
Location: San Diego, California
Venue:
NAACL |
Citations
URL
Abstractive News Summarization based on Event Semantic Link Network
Wei Li
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Lei He
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Hai Zhuge
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Can Taxonomy Help? Improving Semantic Question Matching using Question Taxonomy
Deepak Gupta
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Rajkumar Pujari
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Asif Ekbal
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Pushpak Bhattacharyya
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Anutosh Maitra
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Tom Jain
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Shubhashis Sengupta
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Vocabulary Tailored Summary Generation
Kundan Krishna
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Aniket Murhekar
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Saumitra Sharma
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Balaji Vasan Srinivasan
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Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li
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Junnan Zhu
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Jiajun Zhang
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Chengqing Zong
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Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
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Lin Zhao
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Fei Liu
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Neural Headline Generation on Abstract Meaning Representation
Sho Takase
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Jun Suzuki
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Naoaki Okazaki
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Tsutomu Hirao
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Masaaki Nagata
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Online Segment to Segment Neural Transduction
Lei Yu
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Jan Buys
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Phil Blunsom
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Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi
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Graham Neubig
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Ryohei Sasano
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Hiroya Takamura
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Manabu Okumura
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Video Highlight Prediction Using Audience Chat Reactions
Cheng-Yang Fu
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Joon Lee
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Mohit Bansal
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Alexander Berg
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Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li
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Wai Lam
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Lidong Bing
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Zihao Wang
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Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
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Toru Fujino
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Junichiro Mori
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Yutaka Matsuo
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Ichiro Sakata
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Towards Automatic Construction of News Overview Articles by News Synthesis
Jianmin Zhang
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Xiaojun Wan
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Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Hardy Hardy
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Andreas Vlachos
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Neural Related Work Summarization with a Joint Context-driven Attention Mechanism
Yongzhen Wang
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Xiaozhong Liu
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Zheng Gao
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Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li
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Xinyan Xiao
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Yajuan Lyu
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Yuanzhuo Wang
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Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Jonathan Mallinson
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Rico Sennrich
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Mirella Lapata
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CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
Semih Yavuz
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Chung-Cheng Chiu
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Patrick Nguyen
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Yonghui Wu
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Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
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Mohit Bansal
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Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li
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Xinyan Xiao
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Yajuan Lyu
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Yuanzhuo Wang
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Bottom-Up Abstractive Summarization
Sebastian Gehrmann
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Yuntian Deng
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Alexander Rush
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Controlling Length in Abstractive Summarization Using a Convolutional Neural Network
Yizhu Liu
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Zhiyi Luo
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Kenny Zhu
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Frustratingly Easy Model Ensemble for Abstractive Summarization
Hayato Kobayashi
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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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The limits of automatic summarisation according to ROUGE
Natalie Schluter
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Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki
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Masaaki Nagata
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Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Yllias Chali
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Moin Tanvee
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Mir Tafseer Nayeem
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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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A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins
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Isabelle Augenstein
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Sebastian Riedel
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Unsupervised Sentence Compression using Denoising Auto-Encoders
Thibault Fevry
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Jason Phang
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A Repository of Corpora for Summarization
Franck Dernoncourt
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Mohammad Ghassemi
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Walter Chang
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Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus
Markus Zopf
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SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
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Nikita Mediankin
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Tom Kocmi
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Zdeněk Žabokrtský
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Vojtěch Hudeček
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Jan Hajič
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
|
Xu Sun
|
Wei Li
|
Sujian Li
|
Wenjie Li
|
Xuancheng Ren
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Entity Commonsense Representation for Neural Abstractive Summarization
Reinald Kim Amplayo
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Seonjae Lim
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Seung-won Hwang
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Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
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Mor Naaman
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Yoav Artzi
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Efficient Sequence Learning with Group Recurrent Networks
Fei Gao
|
Lijun Wu
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Li Zhao
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Tao Qin
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Xueqi Cheng
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Tie-Yan Liu
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SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Ye Zhang
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Nan Ding
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Radu Soricut
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Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz
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Antoine Bosselut
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Xiaodong He
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Yejin Choi
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What’s This Movie About? A Joint Neural Network Architecture for Movie Content Analysis
Philip John Gorinski
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Mirella Lapata
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Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
Chenliang Li
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Weiran Xu
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Si Li
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Sheng Gao
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A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan
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Franck Dernoncourt
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Doo Soon Kim
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Trung Bui
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Seokhwan Kim
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Walter Chang
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Nazli Goharian
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Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
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Mohit Bansal
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Diversity driven attention model for query-based abstractive summarization
Preksha Nema
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Mitesh M. Khapra
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Anirban Laha
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Balaraman Ravindran
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Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
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Nan Yang
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Furu Wei
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Ming Zhou
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Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains
Liangguo Wang
|
Jing Jiang
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Hai Leong Chieu
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Chen Hui Ong
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Dandan Song
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Lejian Liao
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Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma
|
Xu Sun
|
Jingjing Xu
|
Houfeng Wang
|
Wenjie Li
|
Qi Su
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OpenNMT: Open-Source Toolkit for Neural Machine Translation
Guillaume Klein
|
Yoon Kim
|
Yuntian Deng
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Jean Senellart
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Alexander Rush
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Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
Ziqiang Cao
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Wenjie Li
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Sujian Li
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Furu Wei
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Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen
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Mohit Bansal
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Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
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Ramakanth Pasunuru
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Mohit Bansal
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Learning to Write with Cooperative Discriminators
Ari Holtzman
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Jan Buys
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Maxwell Forbes
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Antoine Bosselut
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David Golub
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Yejin Choi
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Global Encoding for Abstractive Summarization
Junyang Lin
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Xu Sun
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Shuming Ma
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Qi Su
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A Language Model based Evaluator for Sentence Compression
Yang Zhao
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Zhiyuan Luo
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Akiko Aizawa
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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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Unsupervised Semantic Abstractive Summarization
Shibhansh Dohare
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Vivek Gupta
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Harish Karnick
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Neural Lattice Language Models
Jacob Buckman
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Graham Neubig
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Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
Ying Xu
|
Jey Han Lau
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Timothy Baldwin
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Trevor Cohn
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Low-Resource Neural Headline Generation
Ottokar Tilk
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Tanel Alumäe
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Towards Improving Abstractive Summarization via Entailment Generation
Ramakanth Pasunuru
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Han Guo
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Mohit Bansal
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OpenNMT: Neural Machine Translation Toolkit
Guillaume Klein
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Yoon Kim
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Yuntian Deng
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Vincent Nguyen
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Jean Senellart
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Alexander Rush
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Neural Machine Translation Techniques for Named Entity Transliteration
Roman Grundkiewicz
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Kenneth Heafield
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Controllable Abstractive Summarization
Angela Fan
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David Grangier
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Michael Auli
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Generating E-Commerce Product Titles and Predicting their Quality
José G. Camargo de Souza
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Michael Kozielski
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Prashant Mathur
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Ernie Chang
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Marco Guerini
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Matteo Negri
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Marco Turchi
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Evgeny Matusov
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Task Proposal: The TL;DR Challenge
Shahbaz Syed
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Michael Völske
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Martin Potthast
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Nedim Lipka
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Benno Stein
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Hinrich Schütze
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Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
|
Jiwei Tan
|
Xiaojun Wan
|
http://torch.ch/
http://arxiv.org/abs/1602.06023
Field Of Study
Linguistic Trends
Embeddings
Task
Summarization
Machine Translation
Text Simplification
Language
English
Dataset
News
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