Faithful to the Original: Fact Aware Neural Abstractive Summarization

13 November 2017

Sujian Li

Papers citing "Faithful to the Original: Fact Aware Neural Abstractive Summarization"

31 / 81 papers shown

Title
Focus Attention: Promoting Faithfulness and Diversity in Summarization Rahul Aralikatte Shashi Narayan Joshua Maynez S. Rothe Ryan T. McDonald 35 45 0 25 May 2021
Improving Factual Consistency of Abstractive Summarization via Question Answering Feng Nan Cicero Nogueira dos Santos Henghui Zhu Patrick Ng Kathleen McKeown Ramesh Nallapati Dejiao Zhang Zhiguo Wang Andrew O. Arnold Bing Xiang HILM 14 82 0 10 May 2021
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark Nouha Dziri Hannah Rashkin Tal Linzen David Reitter ALM 195 79 0 30 Apr 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 136 105 0 30 Apr 2021
Towards Clinical Encounter Summarization: Learning to Compose Discharge Summaries from Prior Notes Han-Chin Shing Chaitanya P. Shivade Nima Pourdamghani Feng Nan Philip Resnik Douglas W. Oard Parminder Bhatia 60 24 0 27 Apr 2021
Understanding Factuality in Abstractive Summarization with FRANK: A Benchmark for Factuality Metrics Artidoro Pagnoni Vidhisha Balachandran Yulia Tsvetkov HILM 231 306 0 27 Apr 2021
Structure-Aware Abstractive Conversation Summarization via Discourse and Action Graphs Jiaao Chen Diyi Yang 25 97 0 16 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
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course Summarization Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 50 47 0 12 Apr 2021
Annotating and Modeling Fine-grained Factuality in Summarization Tanya Goyal Greg Durrett HILM 21 153 0 09 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
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
Evaluating Factuality in Generation with Dependency-level Entailment Tanya Goyal Greg Durrett 23 147 0 12 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
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
Multi-View Sequence-to-Sequence Models with Conversational Structure for Abstractive Dialogue Summarization Jiaao Chen Diyi Yang 27 143 0 04 Oct 2020
Contrastive Triple Extraction with Generative Transformer Hongbin Ye Ningyu Zhang Shumin Deng Mosha Chen Chuanqi Tan Fei Huang Huajun Chen 17 127 0 14 Sep 2020
FEQA: A Question Answering Evaluation Framework for Faithfulness Assessment in Abstractive Summarization Esin Durmus He He Mona T. Diab HILM 23 384 0 07 May 2020
Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward Luyang Huang Lingfei Wu Lu Wang RALM 32 161 0 03 May 2020
Improving Truthfulness of Headline Generation Kazuki Matsumaru Sho Takase Naoaki Okazaki HILM 6 49 0 02 May 2020
Asking and Answering Questions to Evaluate the Factual Consistency of Summaries Alex Jinpeng Wang Kyunghyun Cho M. Lewis HILM 36 472 0 08 Apr 2020
Enhancing Factual Consistency of Abstractive Summarization Chenguang Zhu William Fu-Hinthorn Ruochen Xu Qingkai Zeng Michael Zeng Xuedong Huang Meng Jiang HILM KELM 193 40 0 19 Mar 2020
Discourse-Aware Neural Extractive Text Summarization Jiacheng Xu Zhe Gan Yu Cheng Jingjing Liu BDL 43 278 0 30 Oct 2019
Evaluating the Factual Consistency of Abstractive Text Summarization Wojciech Kry'sciñski Bryan McCann Caiming Xiong R. Socher HILM 21 727 0 28 Oct 2019
Denoising based Sequence-to-Sequence Pre-training for Text Generation Liang Wang Wei-Ye Zhao Ruoyu Jia Sujian Li Jingming Liu VLM AI4CE 39 37 0 22 Aug 2019
BiSET: Bi-directional Selective Encoding with Template for Abstractive Summarization Kai Wang Xiaojun Quan Rui-cang Wang 23 53 0 12 Jun 2019
Improving the Similarity Measure of Determinantal Point Processes for Extractive Multi-Document Summarization Sangwoo Cho Logan Lebanoff H. Foroosh Fei Liu 30 53 0 31 May 2019
Assessing The Factual Accuracy of Generated Text Ben Goodrich Vinay Rao Mohammad Saleh Peter J. Liu HILM 32 185 0 30 May 2019
Guiding Extractive Summarization with Question-Answering Rewards Kristjan Arumae Fei Liu 31 33 0 04 Apr 2019
Structure-Infused Copy Mechanisms for Abstractive Summarization Kaiqiang Song Lin Zhao Fei Liu 36 76 0 14 Jun 2018
Effective Approaches to Attention-based Neural Machine Translation Thang Luong Hieu H. Pham Christopher D. Manning 218 7,926 0 17 Aug 2015