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Improving Truthfulness of Headline Generation

Annual Meeting of the Association for Computational Linguistics (ACL), 2020

2 May 2020

Papers citing "Improving Truthfulness of Headline Generation"

24 / 24 papers shown

Title
Fact-Preserved Personalized News Headline GenerationIndustrial Conference on Data Mining (IDM), 2023 Zhao Yang Junhong Lian Xiang Ao 819 3 0 21 Jan 2025
Multi-News+: Cost-efficient Dataset Cleansing via LLM-based Data Annotation Juhwan Choi Jungmin Yun Kyohoon Jin Youngbin Kim 237 13 0 15 Apr 2024
Automatic Logical Forms improve fidelity in Table-to-Text generationExpert systems with applications (ESWA), 2023 Iñigo Alonso Eneko Agirre LMTD 229 4 0 26 Oct 2023
Zero-shot Faithfulness Evaluation for Text Summarization with Foundation Language ModelConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Qi Jia Siyu Ren Yizhu Liu Kenny Q. Zhu ALM HILM 346 24 0 18 Oct 2023
NumHG: A Dataset for Number-Focused Headline GenerationInternational Conference on Language Resources and Evaluation (LREC), 2023 Jian-Tao Huang Chung-Chi Chen Hen-Hsen Huang Hsin-Hsi Chen 93 15 0 04 Sep 2023
HonestBait: Forward References for Attractive but Faithful Headline GenerationAnnual Meeting of the Association for Computational Linguistics (ACL), 2023 Chih-Yao Chen Dennis Wu Lun-Wei Ku 97 3 0 26 Jun 2023
Expository Text Generation: Imitate, Retrieve, ParaphraseConference on Empirical Methods in Natural Language Processing (EMNLP), 2023 Nishant Balepur Jie Huang Kevin Chen-Chuan Chang 179 11 0 05 May 2023
Automatic Generation of Factual News Headlines in FinnishInternational Conference on Natural Language Generation (INLG), 2022 Maximilian Koppatz Khalid Alnajjar Mika Hämäläinen Thierry Poibeau 135 2 0 05 Dec 2022
Questioning the Validity of Summarization Datasets and Improving Their Factual ConsistencyConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Yanzhu Guo Chloé Clavel Moussa Kamal Eddine Michalis Vazirgiannis HILM 155 12 0 31 Oct 2022
Leveraging Key Information Modeling to Improve Less-Data Constrained News Headline Generation via Duality Fine-Tuning Zhuoxuan Jiang Lingfeng Qiao Di Yin Shanshan Feng Bo Ren SyDa 156 2 0 10 Oct 2022
Learning to Revise References for Faithful SummarizationConference on Empirical Methods in Natural Language Processing (EMNLP), 2022 Griffin Adams Han-Chin Shing Q. Sun C. Winestock Kathleen McKeown Noémie Elhadad 214 36 0 13 Apr 2022
Don't Say What You Don't Know: Improving the Consistency of Abstractive Summarization by Constraining Beam SearchIEEE Games Entertainment Media Conference (GEM), 2022 Daniel King Zejiang Shen Nishant Subramani Daniel S. Weld Iz Beltagy Doug Downey HILM 241 33 0 16 Mar 2022
Incorporating Question Answering-Based Signals into Abstractive Summarization via Salient Span SelectionConference of the European Chapter of the Association for Computational Linguistics (EACL), 2021 Daniel Deutsch Dan Roth 185 7 0 15 Nov 2021
CaPE: Contrastive Parameter Ensembling for Reducing Hallucination in Abstractive Summarization Prafulla Kumar Choubey Alexander R. Fabbri Jesse Vig Chien-Sheng Wu Wenhao Liu Nazneen Rajani HILM 287 21 0 14 Oct 2021
Faithful or Extractive? On Mitigating the Faithfulness-Abstractiveness Trade-off in Abstractive SummarizationAnnual Meeting of the Association for Computational Linguistics (ACL), 2021 Faisal Ladhak Esin Durmus He He Claire Cardie Kathleen McKeown 182 71 0 31 Aug 2021
The Factual Inconsistency Problem in Abstractive Text Summarization: A Survey Yi-Chong Huang Xiachong Feng Xiaocheng Feng Bing Qin HILM 385 117 0 30 Apr 2021
Extract, Denoise and Enforce: Evaluating and Improving Concept Preservation for Text-to-Text GenerationConference on Empirical Methods in Natural Language Processing (EMNLP), 2021 Yuning Mao Wenchang Ma Deren Lei Jiawei Han Xiang Ren 233 4 0 18 Apr 2021
Multi-Perspective Abstractive Answer Summarization Alexander R. Fabbri Xiaojian Wu Srini Iyer Mona T. Diab 176 7 0 17 Apr 2021
What's in a Summary? Laying the Groundwork for Advances in Hospital-Course SummarizationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2021 Griffin Adams Emily Alsentzer Mert Ketenci Jason Zucker Noémie Elhadad 175 54 0 12 Apr 2021
Toward Improving Coherence and Diversity of Slogan Generation Yiping Jin Akshay Bhatia Dittaya Wanvarie Phu T. V. Le 121 5 0 11 Feb 2021
Constrained Abstractive Summarization: Preserving Factual Consistency with Constrained Generation Yuning Mao Xiang Ren Heng Ji Jiawei Han HILM 314 41 0 24 Oct 2020
Improving Factual Completeness and Consistency of Image-to-Text Radiology Report GenerationNorth American Chapter of the Association for Computational Linguistics (NAACL), 2020 Yasuhide Miura Yuhao Zhang Emily Bao Tsai C. Langlotz Dan Jurafsky MedIm 481 188 0 20 Oct 2020
Machines Getting with the Program: Understanding Intent Arguments of Non-Canonical DirectivesFindings (Findings), 2019 Won Ik Cho Y. Moon Sangwhan Moon Seokhwan Kim N. Kim 111 6 0 01 Dec 2019
Sticking to the Facts: Confident Decoding for Faithful Data-to-Text Generation Ran Tian Shashi Narayan Thibault Sellam Ankur P. Parikh HILM 280 101 0 19 Oct 2019