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Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
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Mirella Lapata
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Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
ACL |
Citations
URL
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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Extractive Headline Generation Based on Learning to Rank for Community Question Answering
Tatsuru Higurashi
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Hayato Kobayashi
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Takeshi Masuyama
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Kazuma Murao
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Who is Killed by Police: Introducing Supervised Attention for Hierarchical LSTMs
Minh Nguyen
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Thien Huu Nguyen
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Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen
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Mohsen Mesgar
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Michael Strube
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Hierarchically-Attentive RNN for Album Summarization and Storytelling
Licheng Yu
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Mohit Bansal
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Tamara Berg
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Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
Piji Li
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Wai Lam
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Lidong Bing
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Weiwei Guo
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Hang Li
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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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Neural Latent Extractive Document Summarization
Xingxing Zhang
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Mirella Lapata
|
Furu Wei
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Ming Zhou
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On the Abstractiveness of Neural Document Summarization
Fangfang Zhang
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Jin-ge Yao
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Rui Yan
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Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations
Ryuji Kano
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Yasuhide Miura
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Motoki Taniguchi
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Yan-Ying Chen
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Francine Chen
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Tomoko Ohkuma
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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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Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
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Shay B. Cohen
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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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BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong
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Yikang Shen
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Eric Crawford
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Herke van Hoof
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Jackie Chi Kit Cheung
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Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen
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Shen Gao
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Chongyang Tao
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Yan Song
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Dongyan Zhao
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Rui Yan
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Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
Logan Lebanoff
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Kaiqiang Song
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Fei Liu
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A Neural Local Coherence Model for Text Quality Assessment
Mohsen Mesgar
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Michael Strube
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Detecting (Un)Important Content for Single-Document News Summarization
Yinfei Yang
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Forrest Bao
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Ani Nenkova
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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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Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
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Rui Zhang
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Kshitijh Meelu
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Ayush Pareek
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Krishnan Srinivasan
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Dragomir Radev
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Query and Output: Generating Words by Querying Distributed Word Representations for Paraphrase Generation
Shuming Ma
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Xu Sun
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Wei Li
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Sujian Li
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Wenjie Li
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Xuancheng Ren
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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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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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Provable Fast Greedy Compressive Summarization with Any Monotone Submodular Function
Shinsaku Sakaue
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Tsutomu Hirao
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Masaaki Nishino
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Masaaki Nagata
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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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Coarse-to-Fine Question Answering for Long Documents
Eunsol Choi
|
Daniel Hewlett
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Jakob Uszkoreit
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Illia Polosukhin
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Alexandre Lacoste
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Jonathan Berant
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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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Abstractive Document Summarization with a Graph-Based Attentional Neural Model
Jiwei Tan
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Xiaojun Wan
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Jianguo Xiao
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Improving Semantic Relevance for Sequence-to-Sequence Learning of Chinese Social Media Text Summarization
Shuming Ma
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Xu Sun
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Jingjing Xu
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Houfeng Wang
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Wenjie Li
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Qi Su
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A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu
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Chieh-Kai Lin
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Ming-Ying Lee
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Kerui Min
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Jing Tang
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Min Sun
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Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
Aishwarya Jadhav
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Vaibhav Rajan
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Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou
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Nan Yang
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Furu Wei
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Shaohan Huang
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Ming Zhou
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Tiejun Zhao
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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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Denoising Distantly Supervised Open-Domain Question Answering
Yankai Lin
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Haozhe Ji
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Zhiyuan Liu
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Maosong Sun
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Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
|
Ronald Cardenas
|
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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Bag-of-Words as Target for Neural Machine Translation
Shuming Ma
|
Xu Sun
|
Yizhong Wang
|
Junyang Lin
|
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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Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
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Fei Liu
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Multiple Instance Learning Networks for Fine-Grained Sentiment Analysis
Stefanos Angelidis
|
Mirella Lapata
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Centroid-based Text Summarization through Compositionality of Word Embeddings
Gaetano Rossiello
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Pierpaolo Basile
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Giovanni Semeraro
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Extract with Order for Coherent Multi-Document Summarization
Mir Tafseer Nayeem
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Yllias Chali
|
Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
|
Claire Gardent
|
https://github.com/yoonkim/lstm-char-cnn
Field Of Study
Linguistic Trends
Discourse
Embeddings
Task
Named Entity Recognition
Question Answering
Language Generation
Summarization
Machine Translation
Paraphrasing
Language
Multilingual
Chinese
English
Dataset
News
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