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ROUGE: A Package for Automatic Evaluation of Summaries
Chin-Yew Lin
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Paper Details:
Month: July
Year: 2004
Location: Barcelona, Spain
Venue:
WS |
Citations
URL
Mind the Gap: Dangers of Divorcing Evaluations of Summary Content from Linguistic Quality
John M. Conroy
|
Hoa Trang Dang
|
Pedagogically Useful Extractive Summaries for Science Education
Sebastian de la Chica
|
Faisal Ahmad
|
James H. Martin
|
Tamara Sumner
|
A Scalable MMR Approach to Sentence Scoring for Multi-Document Update Summarization
Florian Boudin
|
Marc El-Bèze
|
Juan-Manuel Torres-Moreno
|
Opinosis: A Graph Based Approach to Abstractive Summarization of Highly Redundant Opinions
Kavita Ganesan
|
ChengXiang Zhai
|
Jiawei Han
|
Towards Automated Related Work Summarization
Cong Duy Vu Hoang
|
Min-Yen Kan
|
Hierarchical Topical Segmentation with Affinity Propagation
Anna Kazantseva
|
Stan Szpakowicz
|
Utilizing Microblogs for Automatic News Highlights Extraction
Zhongyu Wei
|
Wei Gao
|
Ranking Multidocument Event Descriptions for Building Thematic Timelines
Kiem-Hieu Nguyen
|
Xavier Tannier
|
Veronique Moriceau
|
Learning to Summarise Related Sentences
Emmanouil Tzouridis
|
Jamal Nasir
|
Ulf Brefeld
|
Learning to Generate Coherent Summary with Discriminative Hidden Semi-Markov Model
Hitoshi Nishikawa
|
Kazuho Arita
|
Katsumi Tanaka
|
Tsutomu Hirao
|
Toshiro Makino
|
Yoshihiro Matsuo
|
Empirical analysis of exploiting review helpfulness for extractive summarization of online reviews
Wenting Xiong
|
Diane Litman
|
MultiDPS – A multilingual Discourse Processing System
Daniel Anechitei
|
A Redundancy-Aware Sentence Regression Framework for Extractive Summarization
Pengjie Ren
|
Furu Wei
|
Zhumin Chen
|
Jun Ma
|
Ming Zhou
|
Generating Video Description using Sequence-to-sequence Model with Temporal Attention
Natsuda Laokulrat
|
Sang Phan
|
Noriki Nishida
|
Raphael Shu
|
Yo Ehara
|
Naoaki Okazaki
|
Yusuke Miyao
|
Hideki Nakayama
|
An Improved Phrase-based Approach to Annotating and Summarizing Student Course Responses
Wencan Luo
|
Fei Liu
|
Diane Litman
|
Exploring Text Links for Coherent Multi-Document Summarization
Xun Wang
|
Masaaki Nishino
|
Tsutomu Hirao
|
Katsuhito Sudoh
|
Masaaki Nagata
|
Appraising UMLS Coverage for Summarizing Medical Evidence
Elaheh ShafieiBavani
|
Mohammad Ebrahimi
|
Raymond Wong
|
Fang Chen
|
AttSum: Joint Learning of Focusing and Summarization with Neural Attention
Ziqiang Cao
|
Wenjie Li
|
Sujian Li
|
Furu Wei
|
Yanran Li
|
Using Relevant Public Posts to Enhance News Article Summarization
Chen Li
|
Zhongyu Wei
|
Yang Liu
|
Yang Jin
|
Fei Huang
|
A Proposition-Based Abstractive Summariser
Yimai Fang
|
Haoyue Zhu
|
Ewa Muszyńska
|
Alexander Kuhnle
|
Simone Teufel
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Bridging the gap between extractive and abstractive summaries: Creation and evaluation of coherent extracts from heterogeneous sources
Darina Benikova
|
Margot Mieskes
|
Christian M. Meyer
|
Iryna Gurevych
|
Imitation learning for language generation from unaligned data
Gerasimos Lampouras
|
Andreas Vlachos
|
An Unsupervised Multi-Document Summarization Framework Based on Neural Document Model
Shulei Ma
|
Zhi-Hong Deng
|
Yunlun Yang
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The Next Step for Multi-Document Summarization: A Heterogeneous Multi-Genre Corpus Built with a Novel Construction Approach
Markus Zopf
|
Maxime Peyrard
|
Judith Eckle-Kohler
|
Modeling Extractive Sentence Intersection via Subtree Entailment
Omer Levy
|
Ido Dagan
|
Gabriel Stanovsky
|
Judith Eckle-Kohler
|
Iryna Gurevych
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CaseSummarizer: A System for Automated Summarization of Legal Texts
Seth Polsley
|
Pooja Jhunjhunwala
|
Ruihong Huang
|
Dynamic Multi-Level Multi-Task Learning for Sentence Simplification
Han Guo
|
Ramakanth Pasunuru
|
Mohit Bansal
|
Ant Colony System for Multi-Document Summarization
Asma Al-Saleh
|
Mohamed El Bachir Menai
|
Vocabulary Tailored Summary Generation
Kundan Krishna
|
Aniket Murhekar
|
Saumitra Sharma
|
Balaji Vasan Srinivasan
|
Summarization Evaluation in the Absence of Human Model Summaries Using the Compositionality of Word Embeddings
Elaheh ShafieiBavani
|
Mohammad Ebrahimi
|
Raymond Wong
|
Fang Chen
|
Point Precisely: Towards Ensuring the Precision of Data in Generated Texts Using Delayed Copy Mechanism
Liunian Li
|
Xiaojun Wan
|
An Operation Network for Abstractive Sentence Compression
Naitong Yu
|
Jie Zhang
|
Minlie Huang
|
Xiaoyan Zhu
|
Abstract Meaning Representation for Multi-Document Summarization
Kexin Liao
|
Logan Lebanoff
|
Fei Liu
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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
|
Learning Semantic Sentence Embeddings using Sequential Pair-wise Discriminator
Badri Narayana Patro
|
Vinod Kumar Kurmi
|
Sandeep Kumar
|
Vinay Namboodiri
|
Double Path Networks for Sequence to Sequence Learning
Kaitao Song
|
Xu Tan
|
Di He
|
Jianfeng Lu
|
Tao Qin
|
Tie-Yan Liu
|
Corpus-based Content Construction
Balaji Vasan Srinivasan
|
Pranav Maneriker
|
Kundan Krishna
|
Natwar Modani
|
A Dataset for Building Code-Mixed Goal Oriented Conversation Systems
Suman Banerjee
|
Nikita Moghe
|
Siddhartha Arora
|
Mitesh M. Khapra
|
Selecting Sentences for Answering Complex Questions
Yllias Chali
|
Shafiq Joty
|
Finding Short Definitions of Terms on Web Pages
Gerasimos Lampouras
|
Ion Androutsopoulos
|
Summarizing Contrastive Viewpoints in Opinionated Text
Michael Paul
|
ChengXiang Zhai
|
Roxana Girju
|
Incorporating Content Structure into Text Analysis Applications
Christina Sauper
|
Aria Haghighi
|
Regina Barzilay
|
Corroborating Text Evaluation Results with Heterogeneous Measures
Enrique Amigó
|
Julio Gonzalo
|
Jesús Giménez
|
Felisa Verdejo
|
Framework of Automatic Text Summarization Using Reinforcement Learning
Seonggi Ryang
|
Takeshi Abekawa
|
Discovering Diverse and Salient Threads in Document Collections
Jennifer Gillenwater
|
Alex Kulesza
|
Ben Taskar
|
An Empirical Investigation of Statistical Significance in NLP
Taylor Berg-Kirkpatrick
|
David Burkett
|
Dan Klein
|
Resolving “This-issue” Anaphora
Varada Kolhatkar
|
Graeme Hirst
|
Document Summarization via Guided Sentence Compression
Chen Li
|
Fei Liu
|
Fuliang Weng
|
Yang Liu
|
Collective Personal Profile Summarization with Social Networks
Zhongqing Wang
|
Shoushan Li
|
Fang Kong
|
Guodong Zhou
|
The Answer is at your Fingertips: Improving Passage Retrieval for Web Question Answering with Search Behavior Data
Mikhail Ageev
|
Dmitry Lagun
|
Eugene Agichtein
|
Single-Document Summarization as a Tree Knapsack Problem
Tsutomu Hirao
|
Yasuhisa Yoshida
|
Masaaki Nishino
|
Norihito Yasuda
|
Masaaki Nagata
|
Fear the REAPER: A System for Automatic Multi-Document Summarization with Reinforcement Learning
Cody Rioux
|
Sadid A. Hasan
|
Yllias Chali
|
Improving Multi-documents Summarization by Sentence Compression based on Expanded Constituent Parse Trees
Chen Li
|
Yang Liu
|
Fei Liu
|
Lin Zhao
|
Fuliang Weng
|
System Combination for Multi-document Summarization
Kai Hong
|
Mitchell Marcus
|
Ani Nenkova
|
Indicative Tweet Generation: An Extractive Summarization Problem?
Priya Sidhaye
|
Jackie Chi Kit Cheung
|
Monotone Submodularity in Opinion Summaries
Jayanth Jayanth
|
Jayaprakash Sundararaj
|
Pushpak Bhattacharyya
|
A Neural Attention Model for Abstractive Sentence Summarization
Alexander M. Rush
|
Sumit Chopra
|
Jason Weston
|
Scientific Article Summarization Using Citation-Context and Article’s Discourse Structure
Arman Cohan
|
Nazli Goharian
|
Concept-based Summarization using Integer Linear Programming: From Concept Pruning to Multiple Optimal Solutions
Florian Boudin
|
Hugo Mougard
|
Benoit Favre
|
Better Summarization Evaluation with Word Embeddings for ROUGE
Jun-Ping Ng
|
Viktoria Abrecht
|
Topical Coherence for Graph-based Extractive Summarization
Daraksha Parveen
|
Hans-Martin Ramsl
|
Michael Strube
|
Summarizing Student Responses to Reflection Prompts
Wencan Luo
|
Diane Litman
|
Extractive Summarization by Maximizing Semantic Volume
Dani Yogatama
|
Fei Liu
|
Noah A. Smith
|
LCSTS: A Large Scale Chinese Short Text Summarization Dataset
Baotian Hu
|
Qingcai Chen
|
Fangze Zhu
|
Using Content-level Structures for Summarizing Microblog Repost Trees
Jing Li
|
Wei Gao
|
Zhongyu Wei
|
Baolin Peng
|
Kam-Fai Wong
|
A Dataset and Evaluation Metrics for Abstractive Compression of Sentences and Short Paragraphs
Kristina Toutanova
|
Chris Brockett
|
Ke M. Tran
|
Saleema Amershi
|
Generating Coherent Summaries of Scientific Articles Using Coherence Patterns
Daraksha Parveen
|
Mohsen Mesgar
|
Michael Strube
|
News Stream Summarization using Burst Information Networks
Tao Ge
|
Lei Cui
|
Baobao Chang
|
Sujian Li
|
Ming Zhou
|
Zhifang Sui
|
Neural Headline Generation on Abstract Meaning Representation
Sho Takase
|
Jun Suzuki
|
Naoaki Okazaki
|
Tsutomu Hirao
|
Masaaki Nagata
|
Controlling Output Length in Neural Encoder-Decoders
Yuta Kikuchi
|
Graham Neubig
|
Ryohei Sasano
|
Hiroya Takamura
|
Manabu Okumura
|
How NOT To Evaluate Your Dialogue System: An Empirical Study of Unsupervised Evaluation Metrics for Dialogue Response Generation
Chia-Wei Liu
|
Ryan Lowe
|
Iulian Serban
|
Mike Noseworthy
|
Laurent Charlin
|
Joelle Pineau
|
Unsupervised Pretraining for Sequence to Sequence Learning
Prajit Ramachandran
|
Peter Liu
|
Quoc Le
|
From Textbooks to Knowledge: A Case Study in Harvesting Axiomatic Knowledge from Textbooks to Solve Geometry Problems
Mrinmaya Sachan
|
Kumar Dubey
|
Eric Xing
|
Opinion Recommendation Using A Neural Model
Zhongqing Wang
|
Yue Zhang
|
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
|
Extractive Summarization Using Multi-Task Learning with Document Classification
Masaru Isonuma
|
Toru Fujino
|
Junichiro Mori
|
Yutaka Matsuo
|
Ichiro Sakata
|
Why We Need New Evaluation Metrics for NLG
Jekaterina Novikova
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Ondřej Dušek
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Amanda Cercas Curry
|
Verena Rieser
|
Bringing Structure into Summaries: Crowdsourcing a Benchmark Corpus of Concept Maps
Tobias Falke
|
Iryna Gurevych
|
Improving Reinforcement Learning Based Image Captioning with Natural Language Prior
Tszhang Guo
|
Shiyu Chang
|
Mo Yu
|
Kun Bai
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A Graph-theoretic Summary Evaluation for ROUGE
Elaheh ShafieiBavani
|
Mohammad Ebrahimi
|
Raymond Wong
|
Fang Chen
|
Evaluating Multiple System Summary Lengths: A Case Study
Ori Shapira
|
David Gabay
|
Hadar Ronen
|
Judit Bar-Ilan
|
Yael Amsterdamer
|
Ani Nenkova
|
Ido Dagan
|
Neural Latent Extractive Document Summarization
Xingxing Zhang
|
Mirella Lapata
|
Furu Wei
|
Ming Zhou
|
A Dataset for Telling the Stories of Social Media Videos
Spandana Gella
|
Mike Lewis
|
Marcus Rohrbach
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Facts That Matter
Marco Ponza
|
Luciano Del Corro
|
Gerhard Weikum
|
Improving Neural Abstractive Document Summarization with Explicit Information Selection Modeling
Wei Li
|
Xinyan Xiao
|
Yajuan Lyu
|
Yuanzhuo Wang
|
Improving Abstraction in Text Summarization
Wojciech Kryściński
|
Romain Paulus
|
Caiming Xiong
|
Richard Socher
|
evision PDF of 'Content Selection in Deep Learning Models of Summarization
Chris Kedzie
|
Kathleen McKeown
|
Hal Daumé III
|
Logician and Orator: Learning from the Duality between Language and Knowledge in Open Domain
Mingming Sun
|
Xu Li
|
Ping Li
|
Sentence Compression for Arbitrary Languages via Multilingual Pivoting
Jonathan Mallinson
|
Rico Sennrich
|
Mirella Lapata
|
Learning Neural Templates for Text Generation
Sam Wiseman
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Stuart Shieber
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Alexander Rush
|
BanditSum: Extractive Summarization as a Contextual Bandit
Yue Dong
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Yikang Shen
|
Eric Crawford
|
Herke van Hoof
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Jackie Chi Kit Cheung
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Paraphrase Generation with Deep Reinforcement Learning
Zichao Li
|
Xin Jiang
|
Lifeng Shang
|
Hang Li
|
Paragraph-level Neural Question Generation with Maxout Pointer and Gated Self-attention Networks
Yao Zhao
|
Xiaochuan Ni
|
Yuanyuan Ding
|
Qifa Ke
|
Unsupervised Natural Language Generation with Denoising Autoencoders
Markus Freitag
|
Scott Roy
|
Towards a Better Metric for Evaluating Question Generation Systems
Preksha Nema
|
Mitesh M. Khapra
|
Incorporating Background Knowledge into Video Description Generation
Spencer Whitehead
|
Heng Ji
|
Mohit Bansal
|
Shih-Fu Chang
|
Clare Voss
|
Multimodal Differential Network for Visual Question Generation
Badri Narayana Patro
|
Sandeep Kumar
|
Vinod Kumar Kurmi
|
Vinay Namboodiri
|
Entity-aware Image Caption Generation
Di Lu
|
Spencer Whitehead
|
Lifu Huang
|
Heng Ji
|
Shih-Fu Chang
|
Abstractive Text-Image Summarization Using Multi-Modal Attentional Hierarchical RNN
Jingqiang Chen
|
Hai Zhuge
|
Closed-Book Training to Improve Summarization Encoder Memory
Yichen Jiang
|
Mohit Bansal
|
Improving Neural Abstractive Document Summarization with Structural Regularization
Wei Li
|
Xinyan Xiao
|
Yajuan Lyu
|
Yuanzhuo Wang
|
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
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Haoran Li
|
Tianshang Liu
|
Yu Zhou
|
Jiajun Zhang
|
Chengqing Zong
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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
|
Hung-Yi Lee
|
What Makes Reading Comprehension Questions Easier?
Saku Sugawara
|
Kentaro Inui
|
Satoshi Sekine
|
Akiko Aizawa
|
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
|
Automatic Single-Document Key Fact Extraction from Newswire Articles
Itamar Kastner
|
Christof Monz
|
Text Summarization Model Based on Maximum Coverage Problem and its Variant
Hiroya Takamura
|
Manabu Okumura
|
Improving the Estimation of Word Importance for News Multi-Document Summarization
Kai Hong
|
Ani Nenkova
|
A Summariser based on Human Memory Limitations and Lexical Competition
Yimai Fang
|
Simone Teufel
|
Re-evaluating Automatic Metrics for Image Captioning
Mert Kilickaya
|
Aykut Erdem
|
Nazli Ikizler-Cinbis
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Erkut Erdem
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The limits of automatic summarisation according to ROUGE
Natalie Schluter
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Improving ROUGE for Timeline Summarization
Sebastian Martschat
|
Katja Markert
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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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Porting a Summarizer to the French Language
Rémi Bois
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Johannes Leveling
|
Lorraine Goeuriot
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Gareth J. F. Jones
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Liadh Kelly
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Kernel-based Approach for Automatic Evaluation of Natural Language Generation Technologies: Application to Automatic Summarization
Tsutomu Hirao
|
Manabu Okumura
|
Hideki Isozaki
|
Machine Learning Approach to Augmenting News Headline Generation
Ruichao Wang
|
John Dunnion
|
Joe Carthy
|
Automatic Extraction of Briefing Templates
Dipanjan Das
|
Mohit Kumar
|
Alexander I. Rudnicky
|
Automatic Identification of Rhetorical Roles using Conditional Random Fields for Legal Document Summarization
M. Saravanan
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B. Ravindran
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S. Raman
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Summarizing Lengthy Questions
Tatsuya Ishigaki
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Hiroya Takamura
|
Manabu Okumura
|
Concept-Map-Based Multi-Document Summarization using Concept Coreference Resolution and Global Importance Optimization
Tobias Falke
|
Christian M. Meyer
|
Iryna Gurevych
|
Abstractive Multi-document Summarization by Partial Tree Extraction, Recombination and Linearization
Litton J Kurisinkel
|
Yue Zhang
|
Vasudeva Varma
|
An Empirical Analysis of Multiple-Turn Reasoning Strategies in Reading Comprehension Tasks
Yelong Shen
|
Xiaodong Liu
|
Kevin Duh
|
Jianfeng Gao
|
Automatic Text Summarization Using Reinforcement Learning with Embedding Features
Gyoung Ho Lee
|
Kong Joo Lee
|
SSAS: Semantic Similarity for Abstractive Summarization
Raghuram Vadapalli
|
Litton J Kurisinkel
|
Manish Gupta
|
Vasudeva Varma
|
Taking into account Inter-sentence Similarity for Update Summarization
Maâli Mnasri
|
Gaël de Chalendar
|
Olivier Ferret
|
Grammatical Error Correction with Neural Reinforcement Learning
Keisuke Sakaguchi
|
Matt Post
|
Benjamin Van Durme
|
Towards Abstractive Multi-Document Summarization Using Submodular Function-Based Framework, Sentence Compression and Merging
Yllias Chali
|
Moin Tanvee
|
Mir Tafseer Nayeem
|
Summarizing Short Stories
Anna Kazantseva
|
Stan Szpakowicz
|
Automatically Assessing Machine Summary Content Without a Gold Standard
Annie Louis
|
Ani Nenkova
|
Beyond Centrality and Structural Features: Learning Information Importance for Text Summarization
Markus Zopf
|
Eneldo Loza Mencía
|
Johannes Fürnkranz
|
A Supervised Approach to Extractive Summarisation of Scientific Papers
Ed Collins
|
Isabelle Augenstein
|
Sebastian Riedel
|
Uncovering Code-Mixed Challenges: A Framework for Linguistically Driven Question Generation and Neural Based Question Answering
Deepak Gupta
|
Pabitra Lenka
|
Asif Ekbal
|
Pushpak Bhattacharyya
|
A Temporally Sensitive Submodularity Framework for Timeline Summarization
Sebastian Martschat
|
Katja Markert
|
Unsupervised Sentence Compression using Denoising Auto-Encoders
Thibault Fevry
|
Jason Phang
|
Evaluating Summaries Automatically - A system Proposal
Paulo C F de Oliveira
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Edson Wilson Torrens
|
Alexandre Cidral
|
Sidney Schossland
|
Evandro Bittencourt
|
From Extracting to Abstracting: Generating Quasi-abstractive Summaries
Zhuli Xie
|
Barbara Di Eugenio
|
Peter C. Nelson
|
Centering Theory for Evaluation of Coherence in Computer-Aided Summaries
Laura Hasler
|
A Repository of State of the Art and Competitive Baseline Summaries for Generic News Summarization
Kai Hong
|
John Conroy
|
Benoit Favre
|
Alex Kulesza
|
Hui Lin
|
Ani Nenkova
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Creating Summarization Systems with SUMMA
Horacio Saggion
|
The Polish Summaries Corpus
Maciej Ogrodniczuk
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Mateusz Kopeć
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Priberam Compressive Summarization Corpus: A New Multi-Document Summarization Corpus for European Portuguese
Miguel B. Almeida
|
Mariana S. C. Almeida
|
André F. T. Martins
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Helena Figueira
|
Pedro Mendes
|
Cláudia Pinto
|
Automatic Annotation of Machine Translation Datasets with Binary Quality Judgements
Marco Turchi
|
Matteo Negri
|
A Publicly Available Indonesian Corpora for Automatic Abstractive and Extractive Chat Summarization
Fajri Koto
|
Revisiting Summarization Evaluation for Scientific Articles
Arman Cohan
|
Nazli Goharian
|
Extractive Summarization under Strict Length Constraints
Yashar Mehdad
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Amanda Stent
|
Kapil Thadani
|
Dragomir Radev
|
Youssef Billawala
|
Karolina Buchner
|
Analyzing Pre-processing Settings for Urdu Single-document Extractive Summarization
Muhammad Humayoun
|
Hwanjo Yu
|
MMQA: A Multi-domain Multi-lingual Question-Answering Framework for English and Hindi
Deepak Gupta
|
Surabhi Kumari
|
Asif Ekbal
|
Pushpak Bhattacharyya
|
Incorporating Semantic Attention in Video Description Generation
Natsuda Laokulrat
|
Naoaki Okazaki
|
Hideki Nakayama
|
A Repository of Corpora for Summarization
Franck Dernoncourt
|
Mohammad Ghassemi
|
Walter Chang
|
Auto-hMDS: Automatic Construction of a Large Heterogeneous Multilingual Multi-Document Summarization Corpus
Markus Zopf
|
PyrEval: An Automated Method for Summary Content Analysis
Yanjun Gao
|
Andrew Warner
|
Rebecca Passonneau
|
SumeCzech: Large Czech News-Based Summarization Dataset
Milan Straka
|
Nikita Mediankin
|
Tom Kocmi
|
Zdeněk Žabokrtský
|
Vojtěch Hudeček
|
Jan Hajič
|
Corpus Building and Evaluation of Aspect-based Opinion Summaries from Tweets in Spanish
Daniel Peñaloza
|
Rodrigo López
|
Juanjosé Tenorio
|
Héctor Gómez
|
Arturo Oncevay-Marcos
|
Marco A. Sobrevilla Cabezudo
|
An Information-Theoretic Approach to Automatic Evaluation of Summaries
Chin-Yew Lin
|
Guihong Cao
|
Jianfeng Gao
|
Jian-Yun Nie
|
Class Model Adaptation for Speech Summarisation
Pierre Chatain
|
Edward Whittaker
|
Joanna Mrozinski
|
Sadaoki Furui
|
Automatic Evaluation of Machine Translation Based on Rate of Accomplishment of Sub-Goals
Kiyotaka Uchimoto
|
Katsunori Kotani
|
Yujie Zhang
|
Hitoshi Isahara
|
Exploring Content Models for Multi-Document Summarization
Aria Haghighi
|
Lucy Vanderwende
|
Using Citations to Generate surveys of Scientific Paradigms
Saif Mohammad
|
Bonnie Dorr
|
Melissa Egan
|
Ahmed Hassan
|
Pradeep Muthukrishan
|
Vahed Qazvinian
|
Dragomir Radev
|
David Zajic
|
Using Confusion Networks for Speech Summarization
Shasha Xie
|
Yang Liu
|
Automatic Evaluation of Topic Coherence
David Newman
|
Jey Han Lau
|
Karl Grieser
|
Timothy Baldwin
|
Summarizing Microblogs Automatically
Beaux Sharifi
|
Mark-Anthony Hutton
|
Jugal Kalita
|
Quantifying the Limits and Success of Extractive Summarization Systems Across Domains
Hakan Ceylan
|
Rada Mihalcea
|
Umut Özertem
|
Elena Lloret
|
Manuel Palomar
|
Detecting Novelty in the context of Progressive Summarization
Praveen Bysani
|
Intra-Speaker Topic Modeling for Improved Multi-Party Meeting Summarization with Integrated Random Walk
Yun-Nung Chen
|
Florian Metze
|
Summarization of Historical Articles Using Temporal Event Clustering
James Gung
|
Jugal Kalita
|
Drug Extraction from the Web: Summarizing Drug Experiences with Multi-Dimensional Topic Models
Michael J. Paul
|
Mark Dredze
|
Keyphrase Extraction for N-best Reranking in Multi-Sentence Compression
Florian Boudin
|
Emmanuel Morin
|
Better Twitter Summaries?
Joel Judd
|
Jugal Kalita
|
A Participant-based Approach for Event Summarization Using Twitter Streams
Chao Shen
|
Fei Liu
|
Fuliang Weng
|
Tao Li
|
Towards Coherent Multi-Document Summarization
Janara Christensen
|
Mausam
|
Stephen Soderland
|
Oren Etzioni
|
Domain-Independent Captioning of Domain-Specific Images
Rebecca Mason
|
Using External Resources and Joint Learning for Bigram Weighting in ILP-Based Multi-Document Summarization
Chen Li
|
Yang Liu
|
Lin Zhao
|
Matching Citation Text and Cited Spans in Biomedical Literature: a Search-Oriented Approach
Arman Cohan
|
Luca Soldaini
|
Nazli Goharian
|
Clustering Sentences with Density Peaks for Multi-document Summarization
Yang Zhang
|
Yunqing Xia
|
Yi Liu
|
Wenmin Wang
|
Improving Update Summarization via Supervised ILP and Sentence Reranking
Chen Li
|
Yang Liu
|
Lin Zhao
|
A Low-Rank Approximation Approach to Learning Joint Embeddings of News Stories and Images for Timeline Summarization
William Yang Wang
|
Yashar Mehdad
|
Dragomir R. Radev
|
Amanda Stent
|
Automatic Summarization of Student Course Feedback
Wencan Luo
|
Fei Liu
|
Zitao Liu
|
Diane Litman
|
Abstractive Sentence Summarization with Attentive Recurrent Neural Networks
Sumit Chopra
|
Michael Auli
|
Alexander M. Rush
|
A Deep Ensemble Model with Slot Alignment for Sequence-to-Sequence Natural Language Generation
Juraj Juraska
|
Panagiotis Karagiannis
|
Kevin Bowden
|
Marilyn Walker
|
Discourse-Aware Neural Rewards for Coherent Text Generation
Antoine Bosselut
|
Asli Celikyilmaz
|
Xiaodong He
|
Jianfeng Gao
|
Po-Sen Huang
|
Yejin Choi
|
Zero-Shot Question Generation from Knowledge Graphs for Unseen Predicates and Entity Types
Hady Elsahar
|
Christophe Gravier
|
Frederique Laforest
|
Classical Structured Prediction Losses for Sequence to Sequence Learning
Sergey Edunov
|
Myle Ott
|
Michael Auli
|
David Grangier
|
Marc’Aurelio Ranzato
|
Self-Training for Jointly Learning to Ask and Answer Questions
Mrinmaya Sachan
|
Eric Xing
|
Entity Commonsense Representation for Neural Abstractive Summarization
Reinald Kim Amplayo
|
Seonjae Lim
|
Seung-won Hwang
|
Newsroom: A Dataset of 1.3 Million Summaries with Diverse Extractive Strategies
Max Grusky
|
Mor Naaman
|
Yoav Artzi
|
Efficient Sequence Learning with Group Recurrent Networks
Fei Gao
|
Lijun Wu
|
Li Zhao
|
Tao Qin
|
Xueqi Cheng
|
Tie-Yan Liu
|
Estimating Summary Quality with Pairwise Preferences
Markus Zopf
|
Generative Bridging Network for Neural Sequence Prediction
Wenhu Chen
|
Guanlin Li
|
Shuo Ren
|
Shujie Liu
|
Zhirui Zhang
|
Mu Li
|
Ming Zhou
|
Which Scores to Predict in Sentence Regression for Text Summarization?
Markus Zopf
|
Eneldo Loza Mencía
|
Johannes Fürnkranz
|
A Discourse-Aware Attention Model for Abstractive Summarization of Long Documents
Arman Cohan
|
Franck Dernoncourt
|
Doo Soon Kim
|
Trung Bui
|
Seokhwan Kim
|
Walter Chang
|
Nazli Goharian
|
Learning to Generate Wikipedia Summaries for Underserved Languages from Wikidata
Lucie-Aimée Kaffee
|
Hady Elsahar
|
Pavlos Vougiouklis
|
Christophe Gravier
|
Frédérique Laforest
|
Jonathon Hare
|
Elena Simperl
|
Multi-Reward Reinforced Summarization with Saliency and Entailment
Ramakanth Pasunuru
|
Mohit Bansal
|
Objective Function Learning to Match Human Judgements for Optimization-Based Summarization
Maxime Peyrard
|
Iryna Gurevych
|
Pruning Basic Elements for Better Automatic Evaluation of Summaries
Ukyo Honda
|
Tsutomu Hirao
|
Masaaki Nagata
|
Automatic Evaluation of Machine Translation Quality Using Longest Common Subsequence and Skip-Bigram Statistics
Chin-Yew Lin
|
Franz Josef Och
|
Stochastic Language Generation Using WIDL-Expressions and its Application in Machine Translation and Summarization
Radu Soricut
|
Daniel Marcu
|
An Automatic Method for Summary Evaluation Using Multiple Evaluation Results by a Manual Method
Hidetsugu Nanba
|
Manabu Okumura
|
Trimming CFG Parse Trees for Sentence Compression Using Machine Learning Approaches
Yuya Unno
|
Takashi Ninomiya
|
Yusuke Miyao
|
Jun’ichi Tsujii
|
Measuring Importance and Query Relevance in Topic-focused Multi-document Summarization
Surabhi Gupta
|
Ani Nenkova
|
Dan Jurafsky
|
Can You Summarize This? Identifying Correlates of Input Difficulty for Multi-Document Summarization
Ani Nenkova
|
Annie Louis
|
Improving the Performance of the Random Walk Model for Answering Complex Questions
Yllias Chali
|
Shafiq Joty
|
Extractive Summaries for Educational Science Content
Sebastian de la Chica
|
Faisal Ahmad
|
James H. Martin
|
Tamara Sumner
|
Correlation between ROUGE and Human Evaluation of Extractive Meeting Summaries
Feifan Liu
|
Yang Liu
|
FastSum: Fast and Accurate Query-based Multi-document Summarization
Frank Schilder
|
Ravikumar Kondadadi
|
DEPEVAL(summ): Dependency-based Evaluation for Automatic Summaries
Karolina Owczarzak
|
Automatically Generating Wikipedia Articles: A Structure-Aware Approach
Christina Sauper
|
Regina Barzilay
|
Summarizing multiple spoken documents: finding evidence from untranscribed audio
Xiaodan Zhu
|
Gerald Penn
|
Frank Rudzicz
|
Comparing Objective and Subjective Measures of Usability in a Human-Robot Dialogue System
Mary Ellen Foster
|
Manuel Giuliani
|
Alois Knoll
|
Correlating Human and Automatic Evaluation of a German Surface Realiser
Aoife Cahill
|
Query-Focused Summaries or Query-Biased Summaries?
Rahul Katragadda
|
Vasudeva Varma
|
From Extractive to Abstractive Meeting Summaries: Can It Be Done by Sentence Compression?
Fei Liu
|
Yang Liu
|
Do Automatic Annotation Techniques Have Any Impact on Supervised Complex Question Answering?
Yllias Chali
|
Sadid Hasan
|
Shafiq Joty
|
Automatic Evaluation of Linguistic Quality in Multi-Document Summarization
Emily Pitler
|
Annie Louis
|
Ani Nenkova
|
Generating Image Descriptions Using Dependency Relational Patterns
Ahmet Aker
|
Robert Gaizauskas
|
Optimizing Informativeness and Readability for Sentiment Summarization
Hitoshi Nishikawa
|
Takaaki Hasegawa
|
Yoshihiro Matsuo
|
Genichiro Kikui
|
A Pilot Study of Opinion Summarization in Conversations
Dong Wang
|
Yang Liu
|
Jointly Learning to Extract and Compress
Taylor Berg-Kirkpatrick
|
Dan Gillick
|
Dan Klein
|
A Class of Submodular Functions for Document Summarization
Hui Lin
|
Jeff Bilmes
|
Probabilistic Document Modeling for Syntax Removal in Text Summarization
William M. Darling
|
Fei Song
|
Automatic Headline Generation using Character Cross-Correlation
Fahad Alotaiby
|
Community Answer Summarization for Multi-Sentence Question with Group L1 Regularization
Wen Chan
|
Xiangdong Zhou
|
Wei Wang
|
Tat-Seng Chua
|
Assessing the Effect of Inconsistent Assessors on Summarization Evaluation
Karolina Owczarzak
|
Peter A. Rankel
|
Hoa Trang Dang
|
John M. Conroy
|
Fast and Robust Compressive Summarization with Dual Decomposition and Multi-Task Learning
Miguel Almeida
|
André Martins
|
Probabilistic Domain Modelling With Contextualized Distributional Semantic Vectors
Jackie Chi Kit Cheung
|
Gerald Penn
|
Using Supervised Bigram-based ILP for Extractive Summarization
Chen Li
|
Xian Qian
|
Yang Liu
|
Summarization Through Submodularity and Dispersion
Anirban Dasgupta
|
Ravi Kumar
|
Sujith Ravi
|
Towards Robust Abstractive Multi-Document Summarization: A Caseframe Analysis of Centrality and Domain
Jackie Chi Kit Cheung
|
Gerald Penn
|
HEADY: News headline abstraction through event pattern clustering
Enrique Alfonseca
|
Daniele Pighin
|
Guillermo Garrido
|
A Decade of Automatic Content Evaluation of News Summaries: Reassessing the State of the Art
Peter A. Rankel
|
John M. Conroy
|
Hoa Trang Dang
|
Ani Nenkova
|
Automated Pyramid Scoring of Summaries using Distributional Semantics
Rebecca J. Passonneau
|
Emily Chen
|
Weiwei Guo
|
Dolores Perin
|
Sequential Summarization: A New Application for Timely Updated Twitter Trending Topics
Dehong Gao
|
Wenjie Li
|
Renxian Zhang
|
Using Discourse Structure Improves Machine Translation Evaluation
Francisco Guzmán
|
Shafiq Joty
|
Lluís Màrquez
|
Preslav Nakov
|
Hierarchical Summarization: Scaling Up Multi-Document Summarization
Janara Christensen
|
Stephen Soderland
|
Gagan Bansal
|
Mausam
|
Query-Chain Focused Summarization
Tal Baumel
|
Raphael Cohen
|
Michael Elhadad
|
Content Importance Models for Scoring Writing From Sources
Beata Beigman Klebanov
|
Nitin Madnani
|
Jill Burstein
|
Swapna Somasundaran
|
Single Document Summarization based on Nested Tree Structure
Yuta Kikuchi
|
Tsutomu Hirao
|
Hiroya Takamura
|
Manabu Okumura
|
Masaaki Nagata
|
A Bayesian Method to Incorporate Background Knowledge during Automatic Text Summarization
Annie Louis
|
Automatic Labelling of Topic Models Learned from Twitter by Summarisation
Amparo Elizabeth Cano Basave
|
Yulan He
|
Ruifeng Xu
|
Multi-document summarization using distortion-rate ratio
Ulukbek Attokurov
|
Ulug Bayazit
|
Event-Driven Headline Generation
Rui Sun
|
Yue Zhang
|
Meishan Zhang
|
Donghong Ji
|
WikiKreator: Improving Wikipedia Stubs Automatically
Siddhartha Banerjee
|
Prasenjit Mitra
|
A Hierarchical Neural Autoencoder for Paragraphs and Documents
Jiwei Li
|
Thang Luong
|
Dan Jurafsky
|
Predicting Salient Updates for Disaster Summarization
Chris Kedzie
|
Kathleen McKeown
|
Fernando Diaz
|
Using Tweets to Help Sentence Compression for News Highlights Generation
Zhongyu Wei
|
Yang Liu
|
Chen Li
|
Wei Gao
|
Learning Summary Prior Representation for Extractive Summarization
Ziqiang Cao
|
Furu Wei
|
Sujian Li
|
Wenjie Li
|
Ming Zhou
|
Houfeng Wang
|
A Methodology for Evaluating Timeline Generation Algorithms based on Deep Semantic Units
Sandro Bauer
|
Simone Teufel
|
Unsupervised extractive summarization via coverage maximization with syntactic and semantic concepts
Natalie Schluter
|
Anders Søgaard
|
Incorporating Copying Mechanism in Sequence-to-Sequence Learning
Jiatao Gu
|
Zhengdong Lu
|
Hang Li
|
Victor O.K. Li
|
Minimum Risk Training for Neural Machine Translation
Shiqi Shen
|
Yong Cheng
|
Zhongjun He
|
Wei He
|
Hua Wu
|
Maosong Sun
|
Yang Liu
|
Cross-Lingual Image Caption Generation
Takashi Miyazaki
|
Nobuyuki Shimizu
|
Optimizing an Approximation of ROUGE - a Problem-Reduction Approach to Extractive Multi-Document Summarization
Maxime Peyrard
|
Judith Eckle-Kohler
|
MUTT: Metric Unit TesTing for Language Generation Tasks
William Boag
|
Renan Campos
|
Kate Saenko
|
Anna Rumshisky
|
evision PDF of 'Improving Argument Overlap for Proposition-Based Summarisation
Yimai Fang
|
Simone Teufel
|
From Extractive to Abstractive Summarization: A Journey
Parth Mehta
|
MUSEEC: A Multilingual Text Summarization Tool
Marina Litvak
|
Natalia Vanetik
|
Mark Last
|
Elena Churkin
|
Scalable Bayesian Learning of Recurrent Neural Networks for Language Modeling
Zhe Gan
|
Chunyuan Li
|
Changyou Chen
|
Yunchen Pu
|
Qinliang Su
|
Lawrence Carin
|
Supervised Learning of Automatic Pyramid for Optimization-Based Multi-Document Summarization
Maxime Peyrard
|
Judith Eckle-Kohler
|
Selective Encoding for Abstractive Sentence Summarization
Qingyu Zhou
|
Nan Yang
|
Furu Wei
|
Ming Zhou
|
Multi-Task Video Captioning with Video and Entailment Generation
Ramakanth Pasunuru
|
Mohit Bansal
|
Learning to Ask: Neural Question Generation for Reading Comprehension
Xinya Du
|
Junru Shao
|
Claire Cardie
|
Joint Optimization of User-desired Content in Multi-document Summaries by Learning from User Feedback
Avinesh P.V.S
|
Christian M. Meyer
|
A Principled Framework for Evaluating Summarizers: Comparing Models of Summary Quality against Human Judgments
Maxime Peyrard
|
Judith Eckle-Kohler
|
Understanding and Detecting Supporting Arguments of Diverse Types
Xinyu Hua
|
Lu Wang
|
Oracle Summaries of Compressive Summarization
Tsutomu Hirao
|
Masaaki Nishino
|
Masaaki Nagata
|
STAIR Captions: Constructing a Large-Scale Japanese Image Caption Dataset
Yuya Yoshikawa
|
Yutaro Shigeto
|
Akikazu Takeuchi
|
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
|
Retrieve, Rerank and Rewrite: Soft Template Based Neural Summarization
Ziqiang Cao
|
Wenjie Li
|
Sujian Li
|
Furu Wei
|
Neural Document Summarization by Jointly Learning to Score and Select Sentences
Qingyu Zhou
|
Nan Yang
|
Furu Wei
|
Shaohan Huang
|
Ming Zhou
|
Tiejun Zhao
|
Unsupervised Abstractive Meeting Summarization with Multi-Sentence Compression and Budgeted Submodular Maximization
Guokan Shang
|
Wensi Ding
|
Zekun Zhang
|
Antoine Tixier
|
Polykarpos Meladianos
|
Michalis Vazirgiannis
|
Jean-Pierre Lorré
|
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
|
No Metrics Are Perfect: Adversarial Reward Learning for Visual Storytelling
Xin Wang
|
Wenhu Chen
|
Yuan-Fang Wang
|
William Yang Wang
|
The Hitchhiker’s Guide to Testing Statistical Significance in Natural Language Processing
Rotem Dror
|
Gili Baumer
|
Segev Shlomov
|
Roi Reichart
|
Stochastic Answer Networks for Machine Reading Comprehension
Xiaodong Liu
|
Yelong Shen
|
Kevin Duh
|
Jianfeng Gao
|
Multi-Passage Machine Reading Comprehension with Cross-Passage Answer Verification
Yizhong Wang
|
Kai Liu
|
Jing Liu
|
Wei He
|
Yajuan Lyu
|
Hua Wu
|
Sujian Li
|
Haifeng Wang
|
Token-level and sequence-level loss smoothing for RNN language models
Maha Elbayad
|
Laurent Besacier
|
Jakob Verbeek
|
On the Automatic Generation of Medical Imaging Reports
Baoyu Jing
|
Pengtao Xie
|
Eric Xing
|
Attacking Visual Language Grounding with Adversarial Examples: A Case Study on Neural Image Captioning
Hongge Chen
|
Huan Zhang
|
Pin-Yu Chen
|
Jinfeng Yi
|
Cho-Jui Hsieh
|
Automatic Article Commenting: the Task and Dataset
Lianhui Qin
|
Lemao Liu
|
Wei Bi
|
Yan Wang
|
Xiaojiang Liu
|
Zhiting Hu
|
Hai Zhao
|
Shuming Shi
|
Paper Abstract Writing through Editing Mechanism
Qingyun Wang
|
Zhihao Zhou
|
Lifu Huang
|
Spencer Whitehead
|
Boliang Zhang
|
Heng Ji
|
Kevin Knight
|
Learning-based Composite Metrics for Improved Caption Evaluation
Naeha Sharif
|
Lyndon White
|
Mohammed Bennamoun
|
Syed Afaq Ali Shah
|
Pushing the Limits of Radiology with Joint Modeling of Visual and Textual Information
Sonit Singh
|
Unsupervised Semantic Abstractive Summarization
Shibhansh Dohare
|
Vivek Gupta
|
Harish Karnick
|
Reinforced Extractive Summarization with Question-Focused Rewards
Kristjan Arumae
|
Fei Liu
|
Unsupervised Declarative Knowledge Induction for Constraint-Based Learning of Information Structure in Scientific Documents
Yufan Guo
|
Roi Reichart
|
Anna Korhonen
|
ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs
Wenpeng Yin
|
Hinrich Schütze
|
Bing Xiang
|
Bowen Zhou
|
The NarrativeQA Reading Comprehension Challenge
Tomáš Kočiský
|
Jonathan Schwarz
|
Phil Blunsom
|
Chris Dyer
|
Karl Moritz Hermann
|
Gábor Melis
|
Edward Grefenstette
|
Extractive Summarization by Aggregating Multiple Similarities
Olof Mogren
|
Mikael Kågebäck
|
Devdatt Dubhashi
|
An Evolutionary Algorithm for Automatic Summarization
Aurélien Bossard
|
Christophe Rodrigues
|
Summarizing World Speak : A Preliminary Graph Based Approach
Nikhil Londhe
|
Rohini Srihari
|
Pyramid-based Summary Evaluation Using Abstract Meaning Representation
Josef Steinberger
|
Peter Krejzl
|
Tomáš Brychcín
|
Multi-Document Summarization of Persian Text using Paragraph Vectors
Morteza Rohanian
|
Detecting Text Reuse with Modified and Weighted N-grams
Rao Muhammad Adeel Nawab
|
Mark Stevenson
|
Paul Clough
|
UNED: Improving Text Similarity Measures without Human Assessments
Enrique Amigó
|
Jesús Giménez
|
Julio Gonzalo
|
Felisa Verdejo
|
SRIUBC: Simple Similarity Features for Semantic Textual Similarity
Eric Yeh
|
Eneko Agirre
|
University_Of_Sheffield: Two Approaches to Semantic Text Similarity
Sam Biggins
|
Shaabi Mohammed
|
Sam Oakley
|
Luke Stringer
|
Mark Stevenson
|
Judita Preiss
|
CLaC-CORE: Exhaustive Feature Combination for Measuring Textual Similarity
Ehsan Shareghi
|
Sabine Bergler
|
Text Summarization through Entailment-based Minimum Vertex Cover
Anand Gupta
|
Manpreet Kaur
|
Shachar Mirkin
|
Adarsh Singh
|
Aseem Goyal
|
Extending a Single-Document Summarizer to Multi-Document: a Hierarchical Approach
Luís Marujo
|
Ricardo Ribeiro
|
David Martins de Matos
|
João Neto
|
Anatole Gershman
|
Jaime Carbonell
|
HHU at SemEval-2016 Task 1: Multiple Approaches to Measuring Semantic Textual Similarity
Matthias Liebeck
|
Philipp Pollack
|
Pashutan Modaresi
|
Stefan Conrad
|
Comparing Approaches for Automatic Question Identification
Angel Maredia
|
Kara Schechtman
|
Sarah Ita Levitan
|
Julia Hirschberg
|
LearningToQuestion at SemEval 2017 Task 3: Ranking Similar Questions by Learning to Rank Using Rich Features
Naman Goyal
|
Impact of Citing Papers for Summarisation of Clinical Documents
Diego Mollá
|
Christopher Jones
|
Abeed Sarker
|
Query-Based Single Document Summarization Using an Ensemble Noisy Auto-Encoder
Mahmood Yousefi Azar
|
Kairit Sirts
|
Diego Mollá Aliod
|
Len Hamey
|
Presenting a New Dataset for the Timeline Generation Problem
Xavier Holt
|
Will Radford
|
Ben Hachey
|
Towards the Use of Deep Reinforcement Learning with Global Policy for Query-based Extractive Summarisation
Diego Mollá-Aliod
|
A Methodology for Extrinsic Evaluation of Text Summarization: Does ROUGE Correlate?
Bonnie Dorr
|
Christof Monz
|
Stacy President
|
Richard Schwartz
|
David Zajic
|
Evaluating DUC 2004 Tasks with the QARLA Framework
Enrique Amigó
|
Julio Gonzalo
|
Anselmo Peñas
|
Felisa Verdejo
|
DUC 2005: Evaluation of Question-Focused Summarization Systems
Hoa Trang Dang
|
Lessons Learned from Large Scale Evaluation of Systems that Produce Text: Nightmares and Pleasant Surprises
Kathleen R. McKeown
|
A Skip-Chain Conditional Random Field for Ranking Meeting Utterances by Importance
Michel Galley
|
A Perspective-Based Approach for Solving Textual Entailment Recognition
Óscar Ferrández
|
Daniel Micol
|
Rafael Muñoz
|
Manuel Palomar
|
Evaluation Understudy for Dialogue Coherence Models
Sudeep Gandhe
|
David Traum
|
Extractive vs. NLG-based Abstractive Summarization of Evaluative Text: The Effect of Corpus Controversiality
Giuseppe Carenini
|
Jackie C. K. Cheung
|
Automated Metrics That Agree With Human Judgements On Generated Output for an Embodied Conversational Agent
Mary Ellen Foster
|
Mixed-Source Multi-Document Speech-to-Text Summarization
Ricardo Ribeiro
|
David Martins de Matos
|
Evaluating automatically generated user-focused multi-document summaries for geo-referenced images
Ahmet Aker
|
Robert Gaizauskas
|
Evaluation of Automatically Reformulated Questions in Question Series
Richard Shaw
|
Ben Solway
|
Robert Gaizauskas
|
Mark A. Greenwood
|
Concept-Graph Based Biomedical Automatic Summarization Using Ontologies
Laura Plaza
|
Alberto Díaz
|
Pablo Gervás
|
Sentence Position revisited: A robust light-weight Update Summarization ‘baseline’ Algorithm
Rahul Katragadda
|
Prasad Pingali
|
Vasudeva Varma
|
A Scalable Global Model for Summarization
Dan Gillick
|
Benoit Favre
|
Optimization-based Content Selection for Opinion Summarization
Jackie Chi Kit Cheung
|
Giuseppe Carenini
|
Raymond T. Ng
|
Evaluation of Automatic Summaries: Metrics under Varying Data Conditions
Karolina Owczarzak
|
Hoa Trang Dang
|
Rating Computer-Generated Questions with Mechanical Turk
Michael Heilman
|
Noah A. Smith
|
Non-Expert Evaluation of Summarization Systems is Risky
Dan Gillick
|
Yang Liu
|
Summarizing Search Results using PLSI
Jun Harashima
|
Sadao Kurohashi
|
Paraphrase Generation as Monolingual Translation: Data and Evaluation
Sander Wubben
|
Antal van den Bosch
|
Emiel Krahmer
|
Extractive Multi-Document Summaries Should Explicitly Not Contain Document Specific Content
Rebecca Mason
|
Eugene Charniak
|
Why is “SXSW” trending? Exploring Multiple Text Sources for Twitter Topic Summarization
Fei Liu
|
Yang Liu
|
Fuliang Weng
|
Text Specificity and Impact on Quality of News Summaries
Annie Louis
|
Ani Nenkova
|
Towards a Unified Approach for Opinion Question Answering and Summarization
Elena Lloret
|
Alexandra Balahur
|
Manuel Palomar
|
Andrés Montoyo
|
Describing Video Contents in Natural Language
Muhammad Usman Ghani Khan
|
Yoshihiko Gotoh
|
Combining Different Summarization Techniques for Legal Text
Filippo Galgani
|
Paul Compton
|
Achim Hoffmann
|
Ecological Validity and the Evaluation of Speech Summarization Quality
Anthony McCallum
|
Cosmin Munteanu
|
Gerald Penn
|
Xiaodan Zhu
|
The Heterogeneity Principle in Evaluation Measures for Automatic Summarization
Enrique Amigó
|
Julio Gonzalo
|
Felisa Verdejo
|
Discrepancy Between Automatic and Manual Evaluation of Summaries
Shamima Mithun
|
Leila Kosseim
|
Prasad Perera
|
How to Evaluate Opinionated Keyphrase Extraction?
Gábor Berend
|
Veronika Vincze
|
Coping with the Subjectivity of Human Judgements in MT Quality Estimation
Marco Turchi
|
Matteo Negri
|
Marcello Federico
|
Multi-document multilingual summarization corpus preparation, Part 1: Arabic, English, Greek, Chinese, Romanian
Lei Li
|
Corina Forascu
|
Mahmoud El-Haj
|
George Giannakopoulos
|
Multi-document multilingual summarization corpus preparation, Part 2: Czech, Hebrew and Spanish
Michael Elhadad
|
Sabino Miranda-Jiménez
|
Josef Steinberger
|
George Giannakopoulos
|
Multi-document multilingual summarization and evaluation tracks in ACL 2013 MultiLing Workshop
George Giannakopoulos
|
ACL 2013 MultiLing Pilot Overview
Jeff Kubina
|
John Conroy
|
Judith Schlesinger
|
Multilingual Multi-Document Summarization with POLY2
Marina Litvak
|
Natalia Vanetik
|
The UWB Summariser at Multiling-2013
Josef Steinberger
|
Using a Keyness Metric for Single and Multi Document Summarisation
Mahmoud El-Haj
|
Paul Rayson
|
Multilingual Single-Document Summarization with MUSE
Marina Litvak
|
Mark Last
|
Extractive Summarization using Continuous Vector Space Models
Mikael Kågebäck
|
Olof Mogren
|
Nina Tahmasebi
|
Devdatt Dubhashi
|
What’s in a p-value in NLP?
Anders Søgaard
|
Anders Johannsen
|
Barbara Plank
|
Dirk Hovy
|
Hector Martínez Alonso
|
Domain-Specific Image Captioning
Rebecca Mason
|
Eugene Charniak
|
Automatic evaluation of spoken summaries: the case of language assessment
Anastassia Loukina
|
Klaus Zechner
|
Lei Chen
|
Multi-document Summarization Using Bipartite Graphs
Daraksha Parveen
|
Michael Strube
|
A Hybrid Approach to Multi-document Summarization of Opinions in Reviews
Giuseppe Di Fabbrizio
|
Amanda Stent
|
Robert Gaizauskas
|
Experimental Design to Improve Topic Analysis Based Summarization
John Miller
|
Kathleen McCoy
|
Similarity Measures for Quantifying Restrictive and Repetitive Behavior in Conversations of Autistic Children
Masoud Rouhizadeh
|
Richard Sproat
|
Jan van Santen
|
MediaMeter: A Global Monitor for Online News Coverage
Tadashi Nomoto
|
Multilingual Summarization with Polytope Model
Natalia Vanetik
|
Marina Litvak
|
Call Centre Conversation Summarization: A Pilot Task at Multiling 2015
Benoit Favre
|
Evgeny Stepanov
|
Jérémy Trione
|
Frédéric Béchet
|
Giuseppe Riccardi
|
AllSummarizer system at MultiLing 2015: Multilingual single and multi-document summarization
Abdelkrime Aries
|
Djamel Eddine Zegour
|
Khaled Walid Hidouci
|
The University of Alicante at MultiLing 2015: approach, results and further insights
Marta Vicente
|
Óscar Alcón
|
Elena Lloret
|
ExB Text Summarizer
Stefan Thomas
|
Christian Beutenmüller
|
Xose de la Puente
|
Robert Remus
|
Stefan Bordag
|
MultiLing 2015: Multilingual Summarization of Single and Multi-Documents, On-line Fora, and Call-center Conversations
George Giannakopoulos
|
Jeff Kubina
|
John Conroy
|
Josef Steinberger
|
Benoit Favre
|
Mijail Kabadjov
|
Udo Kruschwitz
|
Massimo Poesio
|
Generating Image Descriptions with Gold Standard Visual Inputs: Motivation, Evaluation and Baselines
Josiah Wang
|
Robert Gaizauskas
|
On Strategies of Human Multi-Document Summarization
Renata Tironi de Camargo
|
Ariani Di Felippo
|
Thiago A. S. Pardo
|
Towards Abstraction from Extraction: Multiple Timescale Gated Recurrent Unit for Summarization
Minsoo Kim
|
Dennis Singh Moirangthem
|
Minho Lee
|
The CASS Technique for Evaluating the Performance of Argument Mining
Rory Duthie
|
John Lawrence
|
Katarzyna Budzynska
|
Chris Reed
|
Results of the 4th edition of BioASQ Challenge
Anastasia Krithara
|
Anastasios Nentidis
|
Georgios Paliouras
|
Ioannis Kakadiaris
|
Focused Evaluation for Image Description with Binary Forced-Choice Tasks
Micah Hodosh
|
Julia Hockenmaier
|
The SENSEI Annotated Corpus: Human Summaries of Reader Comment Conversations in On-line News
Emma Barker
|
Monica Lestari Paramita
|
Ahmet Aker
|
Emina Kurtic
|
Mark Hepple
|
Robert Gaizauskas
|
The Role of Discourse Units in Near-Extractive Summarization
Junyi Jessy Li
|
Kapil Thadani
|
Amanda Stent
|
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
|
MultiLing 2017 Overview
George Giannakopoulos
|
John Conroy
|
Jeff Kubina
|
Peter A. Rankel
|
Elena Lloret
|
Josef Steinberger
|
Marina Litvak
|
Benoit Favre
|
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
|
Query-based summarization using MDL principle
Marina Litvak
|
Natalia Vanetik
|
Extract with Order for Coherent Multi-Document Summarization
Mir Tafseer Nayeem
|
Yllias Chali
|
Adversarial Generation of Natural Language
Sandeep Subramanian
|
Sai Rajeswar
|
Francis Dutil
|
Chris Pal
|
Aaron Courville
|
Detecting and Explaining Crisis
Rohan Kshirsagar
|
Robert Morris
|
Samuel Bowman
|
Natural Language Descriptions for Human Activities in Video Streams
Nouf Alharbi
|
Yoshihiko Gotoh
|
Video Highlights Detection and Summarization with Lag-Calibration based on Concept-Emotion Mapping of Crowdsourced Time-Sync Comments
Qing Ping
|
Chaomei Chen
|
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
|
Automatic Community Creation for Abstractive Spoken Conversations Summarization
Karan Singla
|
Evgeny Stepanov
|
Ali Orkan Bayer
|
Giuseppe Carenini
|
Giuseppe Riccardi
|
Combining Graph Degeneracy and Submodularity for Unsupervised Extractive Summarization
Antoine Tixier
|
Polykarpos Meladianos
|
Michalis Vazirgiannis
|
Learning to Score System Summaries for Better Content Selection Evaluation.
Maxime Peyrard
|
Teresa Botschen
|
Iryna Gurevych
|
Revisiting the Centroid-based Method: A Strong Baseline for Multi-Document Summarization
Demian Gholipour Ghalandari
|
Reader-Aware Multi-Document Summarization: An Enhanced Model and The First Dataset
Piji Li
|
Lidong Bing
|
Wai Lam
|
A Pilot Study of Domain Adaptation Effect for Neural Abstractive Summarization
Xinyu Hua
|
Lu Wang
|
The E2E Dataset: New Challenges For End-to-End Generation
Jekaterina Novikova
|
Ondřej Dušek
|
Verena Rieser
|
Improving Opinion Summarization by Assessing Sentence Importance in On-line Reviews
Rafael Anchiêta
|
Rogerio Figueredo Sousa
|
Raimundo Moura
|
Thiago Pardo
|
Using Rhetorical Topics for Automatic Summarization
Natalie M. Schrimpf
|
Automated Content Analysis: A Case Study of Computer Science Student Summaries
Yanjun Gao
|
Patricia M. Davies
|
Rebecca J. Passonneau
|
Multi-Sentence Compression with Word Vertex-Labeled Graphs and Integer Linear Programming
Elvys Linhares Pontes
|
Stéphane Huet
|
Thiago Gouveia da Silva
|
Andréa carneiro Linhares
|
Juan-Manuel Torres-Moreno
|
BioAMA: Towards an End to End BioMedical Question Answering System
Vasu Sharma
|
Nitish Kulkarni
|
Srividya Pranavi
|
Gabriel Bayomi
|
Eric Nyberg
|
Teruko Mitamura
|
DuReader: a Chinese Machine Reading Comprehension Dataset from Real-world Applications
Wei He
|
Kai Liu
|
Jing Liu
|
Yajuan Lyu
|
Shiqi Zhao
|
Xinyan Xiao
|
Yuan Liu
|
Yizhong Wang
|
Hua Wu
|
Qiaoqiao She
|
Xuan Liu
|
Tian Wu
|
Haifeng Wang
|
Adaptations of ROUGE and BLEU to Better Evaluate Machine Reading Comprehension Task
An Yang
|
Kai Liu
|
Jing Liu
|
Yajuan Lyu
|
Sujian Li
|
Controllable Abstractive Summarization
Angela Fan
|
David Grangier
|
Michael Auli
|
Macquarie University at BioASQ 6b: Deep learning and deep reinforcement learning for query-based summarisation
Diego Mollá
|
Ontology-Based Retrieval & Neural Approaches for BioASQ Ideal Answer Generation
Ashwin Naresh Kumar
|
Harini Kesavamoorthy
|
Madhura Das
|
Pramati Kalwad
|
Khyathi Chandu
|
Teruko Mitamura
|
Eric Nyberg
|
Supervised Machine Learning for Extractive Query Based Summarisation of Biomedical Data
Mandeep Kaur
|
Diego Mollá
|
Learning to Summarize Radiology Findings
Yuhao Zhang
|
Daisy Yi Ding
|
Tianpei Qian
|
Christopher D. Manning
|
Curtis P. Langlotz
|
Research Challenges in Building a Voice-based Artificial Personal Shopper - Position Paper
Nut Limsopatham
|
Oleg Rokhlenko
|
David Carmel
|
Describing a Knowledge Base
Qingyun Wang
|
Xiaoman Pan
|
Lifu Huang
|
Boliang Zhang
|
Zhiying Jiang
|
Heng Ji
|
Kevin Knight
|
Syntactic Manipulation for Generating more Diverse and Interesting Texts
Jan Milan Deriu
|
Mark Cieliebak
|
End-to-End Content and Plan Selection for Data-to-Text Generation
Sebastian Gehrmann
|
Falcon Dai
|
Henry Elder
|
Alexander Rush
|
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
|
Neural Generation of Diverse Questions using Answer Focus, Contextual and Linguistic Features
Vrindavan Harrison
|
Marilyn Walker
|
Handling Rare Items in Data-to-Text Generation
Anastasia Shimorina
|
Claire Gardent
|
E2E NLG Challenge Submission: Towards Controllable Generation of Diverse Natural Language
Henry Elder
|
Sebastian Gehrmann
|
Alexander O’Connor
|
Qun Liu
|
E2E NLG Challenge: Neural Models vs. Templates
Yevgeniy Puzikov
|
Iryna Gurevych
|
The E2E NLG Challenge: A Tale of Two Systems
Charese Smiley
|
Elnaz Davoodi
|
Dezhao Song
|
Frank Schilder
|
Textual Entailment based Question Generation
Takaaki Matsumoto
|
Kimihiro Hasegawa
|
Yukari Yamakawa
|
Teruko Mitamura
|
Two-Step Training and Mixed Encoding-Decoding for Implementing a Generative Chatbot with a Small Dialogue Corpus
Jintae Kim
|
Hyeon-Gu Lee
|
Harksoo Kim
|
Yeonsoo Lee
|
Young-Gil Kim
|
Reference-less Quality Estimation of Text Simplification Systems
Louis Martin
|
Samuel Humeau
|
Pierre-Emmanuel Mazaré
|
Éric de La Clergerie
|
Antoine Bordes
|
Benoît Sagot
|
On-line Summarization of Time-series Documents using a Graph-based Algorithm
Satoko Suzuki
|
Ichiro Kobayashi
|
http://www.isi.edu/~cyl
http://www.isi.edu/~cyl/ROUGE
http://www-nlpir.nist.gov/projects/duc/pubs/
Field Of Study
Task
Summarization
Machine Translation
Language
English
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