NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond
Ramesh Nallapati
|
Bowen Zhou
|
Cicero dos Santos
|
Çağlar Gu̇lçehre
|
Bing Xiang
|
Paper Details:
Month: August
Year: 2016
Location: Berlin, Germany
Venue:
CoNLL |
SIG: SIGNLL
Citations
URL
Vocabulary Tailored Summary Generation
Kundan Krishna
|
Aniket Murhekar
|
Saumitra Sharma
|
Balaji Vasan Srinivasan
|
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
|
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
|
Lin Zhao
|
Fei Liu
|
Neural Headline Generation on Abstract Meaning Representation
Sho Takase
|
Jun Suzuki
|
Naoaki Okazaki
|
Tsutomu Hirao
|
Masaaki Nagata
|
Leveraging Sentence-level Information with Encoder LSTM for Semantic Slot Filling
Gakuto Kurata
|
Bing Xiang
|
Bowen Zhou
|
Mo Yu
|
Video Highlight Prediction Using Audience Chat Reactions
Cheng-Yang Fu
|
Joon Lee
|
Mohit Bansal
|
Alexander Berg
|
Evaluating Multiple System Summary Lengths: A Case Study
Ori Shapira
|
David Gabay
|
Hadar Ronen
|
Judit Bar-Ilan
|
Yael Amsterdamer
|
Ani Nenkova
|
Ido Dagan
|
On the Abstractiveness of Neural Document Summarization
Fangfang Zhang
|
Jin-ge Yao
|
Rui Yan
|
Don’t Give Me the Details, Just the Summary! Topic-Aware Convolutional Neural Networks for Extreme Summarization
Shashi Narayan
|
Shay B. Cohen
|
Mirella Lapata
|
Improving Abstraction in Text Summarization
Wojciech Kryściński
|
Romain Paulus
|
Caiming Xiong
|
Richard Socher
|
Building Context-aware Clause Representations for Situation Entity Type Classification
Zeyu Dai
|
Ruihong Huang
|
CaLcs: Continuously Approximating Longest Common Subsequence for Sequence Level Optimization
Semih Yavuz
|
Chung-Cheng Chiu
|
Patrick Nguyen
|
Yonghui Wu
|
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong
|
Yikang Shen
|
Eric Crawford
|
Herke van Hoof
|
Jackie Chi Kit Cheung
|
Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead
|
Heng Ji
|
Mohit Bansal
|
Shih-Fu Chang
|
Clare Voss
|
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
|
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
Logan Lebanoff
|
Kaiqiang Song
|
Fei Liu
|
MSMO: Multimodal Summarization with Multimodal Output
Junnan Zhu
|
Haoran Li
|
Tianshang Liu
|
Yu Zhou
|
Jiajun Zhang
|
Chengqing Zong
|
Learning to Encode Text as Human-Readable Summaries using Generative Adversarial Networks
Yaushian Wang
|
Hung-Yi Lee
|
Cutting-off Redundant Repeating Generations for Neural Abstractive Summarization
Jun Suzuki
|
Masaaki Nagata
|
A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins
|
Isabelle Augenstein
|
Sebastian Riedel
|
Graph-based Neural Multi-Document Summarization
Michihiro Yasunaga
|
Rui Zhang
|
Kshitijh Meelu
|
Ayush Pareek
|
Krishnan Srinivasan
|
Dragomir Radev
|
Live Blog Corpus for Summarization
Avinesh P.V.S.
|
Maxime Peyrard
|
Christian M. Meyer
|
Annotation and Analysis of Extractive Summaries for the Kyutech Corpus
Takashi Yamamura
|
Kazutaka Shimada
|
A Repository of Corpora for Summarization
Franck Dernoncourt
|
Mohammad Ghassemi
|
Walter Chang
|
SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
|
Nikita Mediankin
|
Tom Kocmi
|
Zdeněk Žabokrtský
|
Vojtěch Hudeček
|
Jan Hajič
|
Improving Implicit Discourse Relation Classification by Modeling Inter-dependencies of Discourse Units in a Paragraph
Zeyu Dai
|
Ruihong Huang
|
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
|
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Ye Zhang
|
Nan Ding
|
Radu Soricut
|
Generating Topic-Oriented Summaries Using Neural Attention
Kundan Krishna
|
Balaji Vasan Srinivasan
|
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
|
Si Li
|
Sheng Gao
|
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
|
Mohit Bansal
|
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
|
Nan Yang
|
Furu Wei
|
Ming Zhou
|
Learning to Skim Text
Adams Wei Yu
|
Hongrae Lee
|
Quoc Le
|
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
|
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
|
Extractive Summarization with SWAP-NET: Sentences and Words from Alternating Pointer Networks
Aishwarya Jadhav
|
Vaibhav Rajan
|
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou
|
Nan Yang
|
Furu Wei
|
Shaohan Huang
|
Ming Zhou
|
Tiejun Zhao
|
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
|
Ronald Cardenas
|
Nikos Papasarantopoulos
|
Shay B. Cohen
|
Mirella Lapata
|
Jiangsheng Yu
|
Yi Chang
|
Global Encoding for Abstractive Summarization
Junyang Lin
|
Xu Sun
|
Shuming Ma
|
Qi Su
|
Neural Open Information Extraction
Lei Cui
|
Furu Wei
|
Ming Zhou
|
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
|
Attentive Convolution: Equipping CNNs with RNN-style Attention Mechanisms
Wenpeng Yin
|
Hinrich Schütze
|
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
|
Coarse-to-Fine Attention Models for Document Summarization
Jeffrey Ling
|
Alexander Rush
|
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua
|
Lu Wang
|
Controllable Abstractive Summarization
Angela Fan
|
David Grangier
|
Michael Auli
|
Unsupervised Token-wise Alignment to Improve Interpretation of Encoder-Decoder Models
Shun Kiyono
|
Sho Takase
|
Jun Suzuki
|
Naoaki Okazaki
|
Kentaro Inui
|
Masaaki Nagata
|
Learning to Summarize Radiology Findings
Yuhao Zhang
|
Daisy Yi Ding
|
Tianpei Qian
|
Christopher D. Manning
|
Curtis P. Langlotz
|
Generation of Company descriptions using concept-to-text and text-to-text deep models: dataset collection and systems evaluation
Raheel Qader
|
Khoder Jneid
|
François Portet
|
Cyril Labbé
|
Task Proposal: The TL;DR Challenge
Shahbaz Syed
|
Michael Völske
|
Martin Potthast
|
Nedim Lipka
|
Benno Stein
|
Hinrich Schütze
|
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
|
Jiwei Tan
|
Xiaojun Wan
|
North Sámi morphological segmentation with low-resource semi-supervised sequence labeling
Stig-Arne Grönroos
|
Sámi Virpioja
|
Mikko Kurimo
|
http://duc.nist.gov/
https://github.com/facebook/NAMAS
http://www.berouge.com/Pages/default
http://duc.nist.gov/duc2004/tasks.html
Field Of Study
Linguistic Trends
Embeddings
Syntax
Task
Question Answering
Summarization
Machine Translation
Approach
Deep Learning
Language
Chinese
English
Dataset
News
Similar Papers
Enriching Word Vectors with Subword Information
Piotr Bojanowski
|
Edouard Grave
|
Armand Joulin
|
Tomas Mikolov
|
Natural Language Processing for Dialectical Arabic: A Survey
Abdulhadi Shoufan
|
Sumaya Alameri
|
Creating a Large Multi-Layered Representational Repository of Linguistic Code Switched Arabic Data
Mona Diab
|
Mahmoud Ghoneim
|
Abdelati Hawwari
|
Fahad AlGhamdi
|
Nada AlMarwani
|
Mohamed Al-Badrashiny
|
Semi-supervised Structured Prediction with Neural CRF Autoencoder
Xiao Zhang
|
Yong Jiang
|
Hao Peng
|
Kewei Tu
|
Dan Goldwasser
|
A Survey of Arabic Named Entity Recognition and Classification
Khaled Shaalan
|