NLPExplorer
Papers
Venues
Authors
Authors Timeline
Field of Study
URLs
ACL N-gram Stats
TweeNLP
API
Team
Get To The Point: Summarization with Pointer-Generator Networks
Abigail See
|
Peter J. Liu
|
Christopher D. Manning
|
Paper Details:
Month: July
Year: 2017
Location: Vancouver, Canada
Venue:
ACL |
Citations
URL
Neural Transition-based String Transduction for Limited-Resource Setting in Morphology
Peter Makarov
|
Simon Clematide
|
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
|
Structure-Infused Copy Mechanisms for Abstractive Summarization
Kaiqiang Song
|
Lin Zhao
|
Fei Liu
|
Deconvolution-Based Global Decoding for Neural Machine Translation
Junyang Lin
|
Xu Sun
|
Xuancheng Ren
|
Shuming Ma
|
Jinsong Su
|
Qi Su
|
Video Highlight Prediction Using Audience Chat Reactions
Cheng-Yang Fu
|
Joon Lee
|
Mohit Bansal
|
Alexander Berg
|
A Stable and Effective Learning Strategy for Trainable Greedy Decoding
Yun Chen
|
Victor O.K. Li
|
Kyunghyun Cho
|
Samuel Bowman
|
Cut to the Chase: A Context Zoom-in Network for Reading Comprehension
Sathish Reddy Indurthi
|
Seunghak Yu
|
Seohyun Back
|
Heriberto Cuayáhuitl
|
A Dataset for Document Grounded Conversations
Kangyan Zhou
|
Shrimai Prabhumoye
|
Alan W Black
|
Learning To Split and Rephrase From Wikipedia Edit History
Jan A. Botha
|
Manaal Faruqui
|
John Alex
|
Jason Baldridge
|
Dipanjan Das
|
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
|
Facts That Matter
Marco Ponza
|
Luciano Del Corro
|
Gerhard Weikum
|
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
|
Towards Exploiting Background Knowledge for Building Conversation Systems
Nikita Moghe
|
Siddhartha Arora
|
Suman Banerjee
|
Mitesh M. Khapra
|
Estimating Marginal Probabilities of n-grams for Recurrent Neural Language Models
Thanapon Noraset
|
Doug Downey
|
Lidong Bing
|
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
|
Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
|
Xin Jiang
|
Lifeng Shang
|
Hang Li
|
Operation-guided Neural Networks for High Fidelity Data-To-Text Generation
Feng Nie
|
Jinpeng Wang
|
Jin-Ge Yao
|
Rong Pan
|
Chin-Yew Lin
|
Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead
|
Heng Ji
|
Mohit Bansal
|
Shih-Fu Chang
|
Clare Voss
|
Keyphrase Generation with Correlation Constraints
Jun Chen
|
Xiaoming Zhang
|
Yu Wu
|
Zhao Yan
|
Zhoujun Li
|
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
|
Semi-Supervised Learning for Neural Keyphrase Generation
Hai Ye
|
Lu Wang
|
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
|
Commonsense for Generative Multi-Hop Question Answering Tasks
Lisa Bauer
|
Yicheng Wang
|
Mohit Bansal
|
When science journalism meets artificial intelligence : An interactive demonstration
Raghuram Vadapalli
|
Bakhtiyar Syed
|
Nishant Prabhu
|
Balaji Vasan Srinivasan
|
Vasudeva Varma
|
Neural Sequence-to-sequence Learning of Internal Word Structure
Tatyana Ruzsics
|
Tanja Samardžić
|
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
|
Align and Copy: UZH at SIGMORPHON 2017 Shared Task for Morphological Reinflection
Peter Makarov
|
Tatiana Ruzsics
|
Simon Clematide
|
Adversarial Over-Sensitivity and Over-Stability Strategies for Dialogue Models
Tong Niu
|
Mohit Bansal
|
IIT(BHU)–IIITH at CoNLL–SIGMORPHON 2018 Shared Task on Universal Morphological Reinflection
Abhishek Sharma
|
Ganesh Katrapati
|
Dipti Misra Sharma
|
Live Blog Corpus for Summarization
Avinesh P.V.S.
|
Maxime Peyrard
|
Christian M. Meyer
|
Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus
Markus Zopf
|
SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
|
Nikita Mediankin
|
Tom Kocmi
|
Zdeněk Žabokrtský
|
Vojtěch Hudeček
|
Jan Hajič
|
Discourse-Aware Neural Rewards for Coherent Text Generation
Antoine Bosselut
|
Asli Celikyilmaz
|
Xiaodong He
|
Jianfeng Gao
|
Po-Sen Huang
|
Yejin Choi
|
SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation
Ye Zhang
|
Nan Ding
|
Radu Soricut
|
Deep Communicating Agents for Abstractive Summarization
Asli Celikyilmaz
|
Antoine Bosselut
|
Xiaodong He
|
Yejin Choi
|
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
|
Adversarial Example Generation with Syntactically Controlled Paraphrase Networks
Mohit Iyyer
|
John Wieting
|
Kevin Gimpel
|
Luke Zettlemoyer
|
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
|
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
|
The price of debiasing automatic metrics in natural language evalaution
Arun Chaganty
|
Stephen Mussmann
|
Percy Liang
|
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
|
Style Transfer Through Back-Translation
Shrimai Prabhumoye
|
Yulia Tsvetkov
|
Ruslan Salakhutdinov
|
Alan W Black
|
Generating Fine-Grained Open Vocabulary Entity Type Descriptions
Rajarshi Bhowmik
|
Gerard de Melo
|
LSTMs Can Learn Syntax-Sensitive Dependencies Well, But Modeling Structure Makes Them Better
Adhiguna Kuncoro
|
Chris Dyer
|
John Hale
|
Dani Yogatama
|
Stephen Clark
|
Phil Blunsom
|
An End-to-end Approach for Handling Unknown Slot Values in Dialogue State Tracking
Puyang Xu
|
Qi Hu
|
Global-Locally Self-Attentive Encoder for Dialogue State Tracking
Victor Zhong
|
Caiming Xiong
|
Richard Socher
|
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Oriented Dialog Systems
Andrea Madotto
|
Chien-Sheng Wu
|
Pascale Fung
|
A Graph-to-Sequence Model for AMR-to-Text Generation
Linfeng Song
|
Yue Zhang
|
Zhiguo Wang
|
Daniel Gildea
|
Deep-speare: A joint neural model of poetic language, meter and rhyme
Jey Han Lau
|
Trevor Cohn
|
Timothy Baldwin
|
Julian Brooke
|
Adam Hammond
|
Document Modeling with External Attention for Sentence Extraction
Shashi Narayan
|
Ronald Cardenas
|
Nikos Papasarantopoulos
|
Shay B. Cohen
|
Mirella Lapata
|
Jiangsheng Yu
|
Yi Chang
|
Paper Abstract Writing through Editing Mechanism
Qingyun Wang
|
Zhihao Zhou
|
Lifu Huang
|
Spencer Whitehead
|
Boliang Zhang
|
Heng Ji
|
Kevin Knight
|
Neural Open Information Extraction
Lei Cui
|
Furu Wei
|
Ming Zhou
|
Improving Slot Filling in Spoken Language Understanding with Joint Pointer and Attention
Lin Zhao
|
Zhe Feng
|
Personalized Review Generation By Expanding Phrases and Attending on Aspect-Aware Representations
Jianmo Ni
|
Julian McAuley
|
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
|
Building Chatbots from Forum Data: Model Selection Using Question Answering Metrics
Martin Boyanov
|
Preslav Nakov
|
Alessandro Moschitti
|
Giovanni Da San Martino
|
Ivan Koychev
|
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
|
An Encoder-decoder Approach to Predicting Causal Relations in Stories
Melissa Roemmele
|
Andrew Gordon
|
BioAMA: Towards an End to End BioMedical Question Answering System
Vasu Sharma
|
Nitish Kulkarni
|
Srividya Pranavi
|
Gabriel Bayomi
|
Eric Nyberg
|
Teruko Mitamura
|
Controllable Abstractive Summarization
Angela Fan
|
David Grangier
|
Michael Auli
|
Iterative Recursive Attention Model for Interpretable Sequence Classification
Martin Tutek
|
Jan Šnajder
|
Learning to Summarize Radiology Findings
Yuhao Zhang
|
Daisy Yi Ding
|
Tianpei Qian
|
Christopher D. Manning
|
Curtis P. Langlotz
|
Scaling Neural Machine Translation
Myle Ott
|
Sergey Edunov
|
David Grangier
|
Michael Auli
|
Deep Graph Convolutional Encoders for Structured Data to Text Generation
Diego Marcheggiani
|
Laura Perez-Beltrachini
|
Describing a Knowledge Base
Qingyun Wang
|
Xiaoman Pan
|
Lifu Huang
|
Boliang Zhang
|
Zhiying Jiang
|
Heng Ji
|
Kevin Knight
|
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
|
Falcon Dai
|
Henry Elder
|
Alexander Rush
|
Learning to Flip the Bias of News Headlines
Wei-Fan Chen
|
Henning Wachsmuth
|
Khalid Al-Khatib
|
Benno Stein
|
Automatic Opinion Question Generation
Yllias Chali
|
Tina Baghaee
|
Sequence-to-Sequence Models for Data-to-Text Natural Language Generation: Word- vs. Character-based Processing and Output Diversity
Glorianna Jagfeld
|
Sabrina Jenne
|
Ngoc Thang Vu
|
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
|
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features
Vrindavan Harrison
|
Marilyn Walker
|
Task Proposal: The TL;DR Challenge
Shahbaz Syed
|
Michael Völske
|
Martin Potthast
|
Nedim Lipka
|
Benno Stein
|
Hinrich Schütze
|
Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
|
Claire Gardent
|
Adapting Neural Single-Document Summarization Model for Abstractive Multi-Document Summarization: A Pilot Study
Jianmin Zhang
|
Jiwei Tan
|
Xiaojun Wan
|
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder
|
Sebastian Gehrmann
|
Alexander O’Connor
|
Qun Liu
|
https://doi.org/10.18653/v1/P17-1099
https://doi.org/10.18653/v1/P17-1099
Field Of Study
Linguistic Trends
Embeddings
Task
Information Retrieval
Summarization
Machine Translation
Paraphrasing
OCR
Approach
Generative Model
Language
Multilingual
Dataset
News
Similar Papers
Sentiment after Translation: A Case-Study on Arabic Social Media Posts
Mohammad Salameh
|
Saif Mohammad
|
Svetlana Kiritchenko
|
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
|
Natural Language Processing for Dialectical Arabic: A Survey
Abdulhadi Shoufan
|
Sumaya Alameri
|
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
|