Evaluating the Factual Consistency of Abstractive Text Summarization

28 October 2019

Papers citing "Evaluating the Factual Consistency of Abstractive Text Summarization"

50 / 463 papers shown

Title
Transductive Learning for Abstractive News Summarization Arthur Bravzinskas Mengwen Liu Ramesh Nallapati Sujith Ravi Markus Dreyer AI4TS 14 1 0 17 Apr 2021
Multi-Perspective Abstractive Answer Summarization Alexander R. Fabbri Xiaojian Wu Srini Iyer Mona T. Diab 22 6 0 17 Apr 2021
Neural Path Hunter: Reducing Hallucination in Dialogue Systems via Path Grounding Nouha Dziri Andrea Madotto Osmar Zaiane A. Bose HILM 28 132 0 17 Apr 2021
$$Q^{2}$: Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering$ $Q^{2}$ : Evaluating Factual Consistency in Knowledge-Grounded Dialogues via Question Generation and Question Answering Or Honovich Leshem Choshen Roee Aharoni Ella Neeman Idan Szpektor Omri Abend HILM 36 138 0 16 Apr 2021
Sometimes We Want Translationese Prasanna Parthasarathi Koustuv Sinha J. Pineau Adina Williams AAML 22 4 0 15 Apr 2021
Planning with Learned Entity Prompts for Abstractive Summarization Shashi Narayan Yao-Min Zhao Joshua Maynez Gonçalo Simões Vitaly Nikolaev Ryan T. McDonald LRM 22 116 0 15 Apr 2021
SummVis: Interactive Visual Analysis of Models, Data, and Evaluation for Text Summarization Jesse Vig Wojciech Kry'sciñski Karan Goel Nazneen Rajani 11 22 0 15 Apr 2021
Estimation of Summary-to-Text Inconsistency by Mismatched Embeddings Oleg V. Vasilyev John Bohannon HILM 31 7 0 12 Apr 2021
Towards objectively evaluating the quality of generated medical summaries Francesco Moramarco Damir Juric Aleksandar Savkov Ehud Reiter 19 9 0 09 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 21 153 0 09 Apr 2021
Nutribullets Hybrid: Multi-document Health Summarization Darsh J. Shah L. Yu Tao Lei Regina Barzilay 41 3 0 08 Apr 2021
Efficient Attentions for Long Document Summarization L. Huang Shuyang Cao Nikolaus Nova Parulian Heng Ji Lu Wang 70 275 0 05 Apr 2021
A New Approach to Overgenerating and Scoring Abstractive Summaries Kaiqiang Song Bingqing Wang Z. Feng Fei Liu 22 17 0 05 Apr 2021
Mitigating Media Bias through Neutral Article Generation Nayeon Lee Yejin Bang Andrea Madotto Pascale Fung 18 7 0 01 Apr 2021
QuestEval: Summarization Asks for Fact-based Evaluation Thomas Scialom Paul-Alexis Dray Patrick Gallinari Sylvain Lamprier Benjamin Piwowarski Jacopo Staiano Alex Jinpeng Wang HILM 19 267 0 23 Mar 2021
Nutri-bullets: Summarizing Health Studies by Composing Segments Darsh J. Shah L. Yu Tao Lei Regina Barzilay 50 9 0 22 Mar 2021
Play the Shannon Game With Language Models: A Human-Free Approach to Summary Evaluation Nicholas Egan Oleg V. Vasilyev John Bohannon HILM 13 18 0 19 Mar 2021
Get Your Vitamin C! Robust Fact Verification with Contrastive Evidence Tal Schuster Adam Fisch Regina Barzilay 39 226 0 15 Mar 2021
WebRED: Effective Pretraining And Finetuning For Relation Extraction On The Web Róbert Ormándi Mohammad Saleh Erin Winter Vinay Rao 16 11 0 18 Feb 2021
Entity-level Factual Consistency of Abstractive Text Summarization Feng Nan Ramesh Nallapati Zhiguo Wang Cicero Nogueira dos Santos Henghui Zhu Dejiao Zhang Kathleen McKeown Bing Xiang HILM 144 158 0 18 Feb 2021
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View Tianyu Liu Xin Zheng Baobao Chang Zhifang Sui 127 35 0 17 Feb 2021
Toward Improving Coherence and Diversity of Slogan Generation Yiping Jin Akshay Bhatia Dittaya Wanvarie Phu T. V. Le 19 5 0 11 Feb 2021
Controlling Hallucinations at Word Level in Data-to-Text Generation Clément Rebuffel Marco Roberti Laure Soulier Geoffrey Scoutheeten R. Cancelliere Patrick Gallinari 16 66 0 04 Feb 2021
Measuring and Improving Consistency in Pretrained Language Models Yanai Elazar Nora Kassner Shauli Ravfogel Abhilasha Ravichander Eduard H. Hovy Hinrich Schütze Yoav Goldberg HILM 272 347 0 01 Feb 2021
Is human scoring the best criteria for summary evaluation? Oleg V. Vasilyev John Bohannon 21 11 0 29 Dec 2020
FFCI: A Framework for Interpretable Automatic Evaluation of Summarization Fajri Koto Timothy Baldwin Jey Han Lau HILM 32 37 0 27 Nov 2020
Detecting Hallucinated Content in Conditional Neural Sequence Generation Chunting Zhou Graham Neubig Jiatao Gu Mona T. Diab P. Guzmán Luke Zettlemoyer Marjan Ghazvininejad HILM 39 195 0 05 Nov 2020
Improving Zero and Few-Shot Abstractive Summarization with Intermediate Fine-tuning and Data Augmentation Alexander R. Fabbri Simeng Han Haoyuan Li Haoran Li Marjan Ghazvininejad Chenyu You Dragomir R. Radev Yashar Mehdad 123 95 0 24 Oct 2020
GO FIGURE: A Meta Evaluation of Factuality in Summarization Saadia Gabriel Asli Celikyilmaz Rahul Jha Yejin Choi Jianfeng Gao HILM 238 96 0 24 Oct 2020
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao Xiang Ren Heng Ji Jiawei Han HILM 125 38 0 24 Oct 2020
PARENTing via Model-Agnostic Reinforcement Learning to Correct Pathological Behaviors in Data-to-Text Generation Clément Rebuffel Laure Soulier Geoffrey Scoutheeten Patrick Gallinari 8 9 0 21 Oct 2020
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report Generation Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 160 157 0 20 Oct 2020
GSum: A General Framework for Guided Neural Abstractive Summarization Zi-Yi Dou Pengfei Liu Hiroaki Hayashi Zhengbao Jiang Graham Neubig 11 256 0 15 Oct 2020
Compressive Summarization with Plausibility and Salience Modeling Shrey Desai Jiacheng Xu Greg Durrett 28 18 0 15 Oct 2020
Understanding Neural Abstractive Summarization Models via Uncertainty Jiacheng Xu Shrey Desai Greg Durrett UQLM 11 47 0 15 Oct 2020
Neural Deepfake Detection with Factual Structure of Text Wanjun Zhong Duyu Tang Zenan Xu Ruize Wang Nan Duan M. Zhou Jiahai Wang Jian Yin 11 61 0 15 Oct 2020
Sensitivity of BLANC to human-scored qualities of text summaries Oleg V. Vasilyev Vedant Dharnidharka Nicholas Egan Charlene Chambliss John Bohannon 30 7 0 13 Oct 2020
CDEvalSumm: An Empirical Study of Cross-Dataset Evaluation for Neural Summarization Systems Yiran Chen Pengfei Liu Ming Zhong Zi-Yi Dou Danqing Wang Xipeng Qiu Xuanjing Huang ELM 30 24 0 11 Oct 2020
Program Enhanced Fact Verification with Verbalization and Graph Attention Network Xiaoyu Yang Feng Nie Yufei Feng Quan Liu Zhigang Chen Xiao-Dan Zhu 26 52 0 06 Oct 2020
Multi-Fact Correction in Abstractive Text Summarization Yue Dong Shuohang Wang Zhe Gan Yu Cheng Jackie C.K. Cheung Jingjing Liu KELM HILM 15 118 0 06 Oct 2020
Reading Comprehension as Natural Language Inference: A Semantic Analysis Anshuman Mishra Dhruvesh Patel Aparna Vijayakumar Xiang Li Pavan Kapanipathi Kartik Talamadupula 12 8 0 04 Oct 2020
Reducing Quantity Hallucinations in Abstractive Summarization Zheng Zhao Shay B. Cohen Bonnie Webber HILM 12 38 0 28 Sep 2020
Looking Beyond Sentence-Level Natural Language Inference for Downstream Tasks Anshuman Mishra Dhruvesh Patel Aparna Vijayakumar Xiang Li Pavan Kapanipathi Kartik Talamadupula RALM 22 7 0 18 Sep 2020
Dr. Summarize: Global Summarization of Medical Dialogue by Exploiting Local Structures Anirudh Joshi Namit Katariya X. Amatriain Anitha Kannan MedIm 27 87 0 18 Sep 2020
SummEval: Re-evaluating Summarization Evaluation Alexander R. Fabbri Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher Dragomir R. Radev HILM 38 690 0 24 Jul 2020
Evaluation of Text Generation: A Survey Asli Celikyilmaz Elizabeth Clark Jianfeng Gao ELM LM&MA 19 377 0 26 Jun 2020
Cascaded Text Generation with Markov Transformers Yuntian Deng Alexander M. Rush 19 13 0 01 Jun 2020
Adversarial NLI for Factual Correctness in Text Summarisation Models Mario Barrantes Benedikt Herudek Richard Wang 17 17 0 24 May 2020
Improving Truthfulness of Headline Generation Kazuki Matsumaru Sho Takase Naoaki Okazaki HILM 8 49 0 02 May 2020
On Faithfulness and Factuality in Abstractive Summarization Joshua Maynez Shashi Narayan Bernd Bohnet Ryan T. McDonald HILM 26 1,001 0 02 May 2020