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A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
|
Sumit Chopra
|
Jason Weston
|
Paper Details:
Month: September
Year: 2015
Location: Lisbon, Portugal
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
Wencan Luo
|
Fei Liu
|
Diane Litman
|
A Neural Attention Model for Disfluency Detection
Shaolei Wang
|
Wanxiang Che
|
Ting Liu
|
AttSum: Joint Learning of Focusing and Summarization with Neural Attention
Ziqiang Cao
|
Wenjie Li
|
Sujian Li
|
Furu Wei
|
Yanran Li
|
A Proposition-Based Abstractive Summariser
Yimai Fang
|
Haoyue Zhu
|
Ewa Muszyńska
|
Alexander Kuhnle
|
Simone Teufel
|
Distance Metric Learning for Aspect Phrase Grouping
Shufeng Xiong
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Yue Zhang
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Donghong Ji
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Yinxia Lou
|
Modelling Sentence Pairs with Tree-structured Attentive Encoder
Yao Zhou
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Cong Liu
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Yan Pan
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Hashtag Recommendation with Topical Attention-Based LSTM
Yang Li
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Ting Liu
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Jing Jiang
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Liang Zhang
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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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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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Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
|
Logan Lebanoff
|
Fei Liu
|
Ensure the Correctness of the Summary: Incorporate Entailment Knowledge into Abstractive Sentence Summarization
Haoran Li
|
Junnan Zhu
|
Jiajun Zhang
|
Chengqing Zong
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Variational Attention for Sequence-to-Sequence Models
Hareesh Bahuleyan
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Lili Mou
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Olga Vechtomova
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Pascal Poupart
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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
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Hayato Kobayashi
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Takeshi Masuyama
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Kazuma Murao
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Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri Narayana Patro
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Vinod Kumar Kurmi
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Sandeep Kumar
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Vinay Namboodiri
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Double Path Networks for Sequence to Sequence Learning
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Xu Tan
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Di He
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Jianfeng Lu
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Tao Qin
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Tie-Yan Liu
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Shuming Ma
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Wei Wu
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Houfeng Wang
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Rationalizing Neural Predictions
Tao Lei
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Regina Barzilay
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Tommi Jaakkola
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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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Globally Coherent Text Generation with Neural Checklist Models
Chloé Kiddon
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Luke Zettlemoyer
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Yejin Choi
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A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova
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Chris Brockett
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Ke M. Tran
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Saleema Amershi
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Long Short-Term Memory-Networks for Machine Reading
Jianpeng Cheng
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Li Dong
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Mirella Lapata
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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
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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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A Theme-Rewriting Approach for Generating Algebra Word Problems
Rik Koncel-Kedziorski
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Ioannis Konstas
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Luke Zettlemoyer
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Hannaneh Hajishirzi
|
A causal framework for explaining the predictions of black-box sequence-to-sequence models
David Alvarez-Melis
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Tommi Jaakkola
|
Recurrent Attention Network on Memory for Aspect Sentiment Analysis
Peng Chen
|
Zhongqian Sun
|
Lidong Bing
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Wei Yang
|
Split and Rephrase
Shashi Narayan
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Claire Gardent
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Shay B. Cohen
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Anastasia Shimorina
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A Hybrid Convolutional Variational Autoencoder for Text Generation
Stanislau Semeniuta
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Aliaksei Severyn
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Erhardt Barth
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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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A Question Answering Approach for Emotion Cause Extraction
Lin Gui
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Jiannan Hu
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Yulan He
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Ruifeng Xu
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Qin Lu
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Jiachen Du
|
Opinion Recommendation Using A Neural Model
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Yue Zhang
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Stack-based Multi-layer Attention for Transition-based Dependency Parsing
Zhirui Zhang
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Shujie Liu
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Mu Li
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Ming Zhou
|
Enhong Chen
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Incorporating Relation Paths in Neural Relation Extraction
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Yankai Lin
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Zhiyuan Liu
|
Maosong Sun
|
Cascaded Attention based Unsupervised Information Distillation for Compressive Summarization
Piji Li
|
Wai Lam
|
Lidong Bing
|
Weiwei Guo
|
Hang Li
|
Deep Recurrent Generative Decoder for Abstractive Text Summarization
Piji Li
|
Wai Lam
|
Lidong Bing
|
Zihao Wang
|
Steering Output Style and Topic in Neural Response Generation
Di Wang
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Nebojsa Jojic
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Chris Brockett
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Eric Nyberg
|
On the Relation between Linguistic Typology and (Limitations of) Multilingual Language Modeling
Daniela Gerz
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Ivan Vulić
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Edoardo Maria Ponti
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Roi Reichart
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Anna Korhonen
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A Stable and Effective Learning Strategy for Trainable Greedy Decoding
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Victor O.K. Li
|
Kyunghyun Cho
|
Samuel Bowman
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Guided Neural Language Generation for Abstractive Summarization using Abstract Meaning Representation
Hardy Hardy
|
Andreas Vlachos
|
Neural Latent Extractive Document Summarization
Xingxing Zhang
|
Mirella Lapata
|
Furu Wei
|
Ming Zhou
|
On the Abstractiveness of Neural Document Summarization
Fangfang Zhang
|
Jin-ge Yao
|
Rui Yan
|
Harnessing Popularity in Social Media for Extractive Summarization of Online Conversations
Ryuji Kano
|
Yasuhide Miura
|
Motoki Taniguchi
|
Yan-Ying Chen
|
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
|
Xiaozhong Liu
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Zheng Gao
|
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
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Shay B. Cohen
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Mirella Lapata
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Improving Abstraction in Text Summarization
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Romain Paulus
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Caiming Xiong
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Richard Socher
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Rico Sennrich
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Mirella Lapata
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Manuel Montes
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Fabio A. González
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Thamar Solorio
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CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
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Chung-Cheng Chiu
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Patrick Nguyen
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Yonghui Wu
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Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
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Xin Jiang
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Lifeng Shang
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Hang Li
|
Learning to Describe Differences Between Pairs of Similar Images
Harsh Jhamtani
|
Taylor Berg-Kirkpatrick
|
Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
|
Mohit Bansal
|
Iterative Document Representation Learning Towards Summarization with Polishing
Xiuying Chen
|
Shen Gao
|
Chongyang Tao
|
Yan Song
|
Dongyan Zhao
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Rui Yan
|
Controlling Length in Abstractive Summarization Using a Convolutional Neural Network
Yizhu Liu
|
Zhiyi Luo
|
Kenny Zhu
|
Adapting the Neural Encoder-Decoder Framework from Single to Multi-Document Summarization
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Kaiqiang Song
|
Fei Liu
|
Semi-Supervised Learning for Neural Keyphrase Generation
Hai Ye
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Lu Wang
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MSMO: Multimodal Summarization with Multimodal Output
Junnan Zhu
|
Haoran Li
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Tianshang Liu
|
Yu Zhou
|
Jiajun Zhang
|
Chengqing Zong
|
Frustratingly Easy Model Ensemble for Abstractive Summarization
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|
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
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Hung-Yi Lee
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Task-Specific Attentive Pooling of Phrase Alignments Contributes to Sentence Matching
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The limits of automatic summarisation according to ROUGE
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Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
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Yuji Matsumoto
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Junji Tomita
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Masao Utiyama
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Eiichiro Sumita
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Takenobu Tokunaga
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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
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Isabelle Augenstein
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Sebastian Riedel
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Graph-based Neural Multi-Document Summarization
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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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Thibault Fevry
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Jason Phang
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A Repository of Corpora for Summarization
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Mohammad Ghassemi
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Walter Chang
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Andrew Warner
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Rebecca Passonneau
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SumeCzech: Large Czech News-Based Summarization Dataset
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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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Neural Network-Based Abstract Generation for Opinions and Arguments
Lu Wang
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Wang Ling
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Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
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Michael Auli
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Alexander M. Rush
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Ran Tian
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Kentaro Inui
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Jimmy Lin
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Hrishikesh Joshi
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Alessandro Moschitti
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Lluís Màrquez
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Yejin Choi
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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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Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
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Christophe Gravier
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Classical Structured Prediction Losses for Sequence to Sequence Learning
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Myle Ott
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Michael Auli
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David Grangier
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Marc’Aurelio Ranzato
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Explainable Prediction of Medical Codes from Clinical Text
James Mullenbach
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Sarah Wiegreffe
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Jon Duke
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Jimeng Sun
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Jacob Eisenstein
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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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Generating Descriptions from Structured Data Using a Bifocal Attention Mechanism and Gated Orthogonalization
Preksha Nema
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Shreyas Shetty
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Parag Jain
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Anirban Laha
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Karthik Sankaranarayanan
|
Mitesh M. Khapra
|
Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz
|
Antoine Bosselut
|
Xiaodong He
|
Yejin Choi
|
Generating Topic-Oriented Summaries Using Neural Attention
Kundan Krishna
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Balaji Vasan Srinivasan
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Ranking Sentences for Extractive Summarization with Reinforcement Learning
Shashi Narayan
|
Shay B. Cohen
|
Mirella Lapata
|
Guiding Generation for Abstractive Text Summarization Based on Key Information Guide Network
Chenliang Li
|
Weiran Xu
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Si Li
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Sheng Gao
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Letting Emotions Flow: Success Prediction by Modeling the Flow of Emotions in Books
Suraj Maharjan
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Sudipta Kar
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Manuel Montes
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Fabio A. González
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Thamar Solorio
|
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
Lucie-Aimée Kaffee
|
Hady Elsahar
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Pavlos Vougiouklis
|
Christophe Gravier
|
Frédérique Laforest
|
Jonathon Hare
|
Elena Simperl
|
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
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Mohit Bansal
|
Language to Logical Form with Neural Attention
Li Dong
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Mirella Lapata
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Compressing Neural Language Models by Sparse Word Representations
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Lili Mou
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Yan Xu
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Ge Li
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Zhi Jin
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Improved Representation Learning for Question Answer Matching
Ming Tan
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Cicero dos Santos
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Bing Xiang
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Bowen Zhou
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Neural Summarization by Extracting Sentences and Words
Jianpeng Cheng
|
Mirella Lapata
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CSE: Conceptual Sentence Embeddings based on Attention Model
Yashen Wang
|
Heyan Huang
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Chong Feng
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Qiang Zhou
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Jiahui Gu
|
Xiong Gao
|
Summarizing Source Code using a Neural Attention Model
Srinivasan Iyer
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Ioannis Konstas
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Alvin Cheung
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Luke Zettlemoyer
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An Unsupervised Neural Attention Model for Aspect Extraction
Ruidan He
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Wee Sun Lee
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Hwee Tou Ng
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Daniel Dahlmeier
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Deep Keyphrase Generation
Rui Meng
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Sanqiang Zhao
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Shuguang Han
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Daqing He
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Peter Brusilovsky
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Yu Chi
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Evaluation Metrics for Machine Reading Comprehension: Prerequisite Skills and Readability
Saku Sugawara
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Yusuke Kido
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Hikaru Yokono
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Akiko Aizawa
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Get To The Point: Summarization with Pointer-Generator Networks
Abigail See
|
Peter J. Liu
|
Christopher D. Manning
|
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
|
Nan Yang
|
Furu Wei
|
Ming Zhou
|
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du
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Junru Shao
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Claire Cardie
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Soichiro Murakami
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Akihiko Watanabe
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Akira Miyazawa
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Keiichi Goshima
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Toshihiko Yanase
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Hiroya Takamura
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Yusuke Miyao
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Can Syntax Help? Improving an LSTM-based Sentence Compression Model for New Domains
Liangguo Wang
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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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Lexically Constrained Decoding for Sequence Generation Using Grid Beam Search
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Qun Liu
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Enhanced LSTM for Natural Language Inference
Qian Chen
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Xiaodan Zhu
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Zhen-Hua Ling
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Si Wei
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Hui Jiang
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Diana Inkpen
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Learning to Skim Text
Adams Wei Yu
|
Hongrae Lee
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Quoc Le
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Jindřich Libovický
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Jindřich Helcl
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Differentiable Scheduled Sampling for Credit Assignment
Kartik Goyal
|
Chris Dyer
|
Taylor Berg-Kirkpatrick
|
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
|
Subword Regularization: Improving Neural Network Translation Models with Multiple Subword Candidates
Taku Kudo
|
A Unified Model for Extractive and Abstractive Summarization using Inconsistency Loss
Wan-Ting Hsu
|
Chieh-Kai Lin
|
Ming-Ying Lee
|
Kerui Min
|
Jing Tang
|
Min Sun
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Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
Ziqiang Cao
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Wenjie Li
|
Sujian Li
|
Furu Wei
|
Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting
Yen-Chun Chen
|
Mohit Bansal
|
Soft Layer-Specific Multi-Task Summarization with Entailment and Question Generation
Han Guo
|
Ramakanth Pasunuru
|
Mohit Bansal
|
Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
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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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Global Encoding for Abstractive Summarization
Junyang Lin
|
Xu Sun
|
Shuming Ma
|
Qi Su
|
A Language Model based Evaluator for Sentence Compression
Yang Zhao
|
Zhiyuan Luo
|
Akiko Aizawa
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Neural Open Information Extraction
Lei Cui
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Furu Wei
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Ming Zhou
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An Empirical Study of Building a Strong Baseline for Constituency Parsing
Jun Suzuki
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Sho Takase
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Hidetaka Kamigaito
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Makoto Morishita
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Masaaki Nagata
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Autoencoder as Assistant Supervisor: Improving Text Representation for Chinese Social Media Text Summarization
Shuming Ma
|
Xu Sun
|
Junyang Lin
|
Houfeng Wang
|
Towards Opinion Summarization of Customer Reviews
Samuel Pecar
|
Unsupervised Semantic Abstractive Summarization
Shibhansh Dohare
|
Vivek Gupta
|
Harish Karnick
|
Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
|
Fei Liu
|
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
|
Hinrich Schütze
|
Bing Xiang
|
Bowen Zhou
|
Optimizing Statistical Machine Translation for Text Simplification
Wei Xu
|
Courtney Napoles
|
Ellie Pavlick
|
Quanze Chen
|
Chris Callison-Burch
|
Aspect-augmented Adversarial Networks for Domain Adaptation
Yuan Zhang
|
Regina Barzilay
|
Tommi Jaakkola
|
Scheduled Multi-Task Learning: From Syntax to Translation
Eliyahu Kiperwasser
|
Miguel Ballesteros
|
Analysis Methods in Neural Language Processing: A Survey
Yonatan Belinkov
|
James Glass
|
UMD-TTIC-UW at SemEval-2016 Task 1: Attention-Based Multi-Perspective Convolutional Neural Networks for Textual Similarity Measurement
Hua He
|
John Wieting
|
Kevin Gimpel
|
Jinfeng Rao
|
Jimmy Lin
|
YNU_Deep at SemEval-2018 Task 11: An Ensemble of Attention-based BiLSTM Models for Machine Comprehension
Peng Ding
|
Xiaobing Zhou
|
Joker at SemEval-2018 Task 12: The Argument Reasoning Comprehension with Neural Attention
Guobin Sui
|
Wenhan Chao
|
Zhunchen Luo
|
Multiplicative Tree-Structured Long Short-Term Memory Networks for Semantic Representations
Nam Khanh Tran
|
Weiwei Cheng
|
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Minsoo Kim
|
Dennis Singh Moirangthem
|
Minho Lee
|
CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks
Jindřich Libovický
|
Jindřich Helcl
|
Marek Tlustý
|
Ondřej Bojar
|
Pavel Pecina
|
A Joint Model of Rhetorical Discourse Structure and Summarization
Naman Goyal
|
Jacob Eisenstein
|
Abstractive Compression of Captions with Attentive Recurrent Neural Networks
Sander Wubben
|
Emiel Krahmer
|
Antal van den Bosch
|
Suzan Verberne
|
Decoupling Encoder and Decoder Networks for Abstractive Document Summarization
Ying Xu
|
Jey Han Lau
|
Timothy Baldwin
|
Trevor Cohn
|
Centroid-based Text Summarization through Compositionality of Word Embeddings
Gaetano Rossiello
|
Pierpaolo Basile
|
Giovanni Semeraro
|
Low-Resource Neural Headline Generation
Ottokar Tilk
|
Tanel Alumäe
|
Towards Improving Abstractive Summarization via Entailment Generation
Ramakanth Pasunuru
|
Han Guo
|
Mohit Bansal
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Coarse-to-Fine Attention Models for Document Summarization
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Yusuke Oda
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David Grangier
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Michael Auli
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Jun Suzuki
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Khiem Pham
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Brendan O’Connor
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Brian Dillon
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Learning to Summarize Radiology Findings
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Tianpei Qian
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Liang Huang
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Generating E-Commerce Product Titles and Predicting their Quality
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Jiwei Tan
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http://duc.nist
http://duc.nist.gov/data.html
http://torch.ch/
Field Of Study
Linguistic Trends
Syntax
Task
Tagging
Information Retrieval
Summarization
Machine Translation
Language
English
Dataset
News
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