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ORCID16th INLG 2023: Prague, Czechia
- C. Maria Keet, Hung-Yi Lee, Sina Zarrieß:
Proceedings of the 16th International Natural Language Generation Conference, INLG 2023, Prague, Czechia, September 11 - 15, 2023. Association for Computational Linguistics 2023, ISBN 979-8-89176-001-1 - Nicolas Garneau, Luc Lamontagne:
Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation. 1-14 - Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma:
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. 15-27 - Daphne Ippolito, Florian Tramèr, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher A. Choquette-Choo, Nicholas Carlini:
Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy. 28-53 - Mina Almasi, Anton Schiønning:
Fine-Tuning GPT-3 for Synthetic Danish News Generation. 54-68 - Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy, Renxian Zhang:
GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications. 69-79 - Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang
:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. 80-92 - Fahime Same, Guanyi Chen, Kees van Deemter:
Models of reference production: How do they withstand the test of time? 93-105 - Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li:
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text. 106-122 - Laura Mascarell, Ribin Chalumattu, Julien Heitmann:
Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings. 123-133 - Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth:
Claim Optimization in Computational Argumentation. 134-152 - Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo, Raffaella Bernardi:
ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game. 153-162 - Miriam Anschütz, Diego Miguel Lozano, Georg Groh:
This is not correct! Negation-aware Evaluation of Language Generation Systems. 163-175 - Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert:
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. 176-195 - Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos:
A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation. 196-205 - Judith Sieker, Oliver Bott, Torgrim Solstad, Sina Zarrieß:
Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. 206-220 - Craig Thomson, Clément Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada, Patrick Gallinari:
Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints. 221-236 - Fabian Landwehr, Erika Varis Doggett, Romann M. Weber:
Memories for Virtual AI Characters. 237-252 - Subhadra Vadlamannati, Gözde Gül Sahin:
Metric-Based In-context Learning: A Case Study in Text Simplification. 253-268 - Gabriel Del Castillo, Grace Clark, Zhao Han, Tom Williams:
Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models. 269-278 - Ye Liu, Stefan Ultes, Wolfgang Minker, Wolfgang Maier:
System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator. 279-292 - Michele Cafagna, Kees van Deemter, Albert Gatt:
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. 293-312 - Maurice Langner, Ralf Klabunde:
Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation. 313-322 - Zhuohan Xie, Trevor Cohn, Jey Han Lau:
The Next Chapter: A Study of Large Language Models in Storytelling. 323-351 - Prabin Bhandari, Hannah Marie Brennan:
Trustworthiness of Children Stories Generated by Large Language Models. 352-361 - Sharan Narasimhan, Pooja H, Suvodip Dey, Maunendra Sankar Desarkar:
On Text Style Transfer via Style-Aware Masked Language Models. 362-374 - Yarik Menchaca Resendiz, Roman Klinger:
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions. 375-387 - Sourabrata Mukherjee, Ondrej Dusek:
Leveraging Low-resource Parallel Data for Text Style Transfer. 388-395 - Daphne Ippolito, Nicholas Carlini, Katherine Lee, Milad Nasr, Yun William Yu:
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. 396-406 - Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi, Yasuhiro Sogawa:
Controlling keywords and their positions in text generation. 407-413 - Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg:
Tackling Hallucinations in Neural Chart Summarization. 414-423 - Sheng Xu, Fumiyo Fukumoto, Jiyi Li, Kentaro Go, Yoshimi Suzuki:
Learning Disentangled Meaning and Style Representations for Positive Text Reframing. 424-430 - Mateusz Wozny, Mateusz Lango:
Generating clickbait spoilers with an ensemble of large language models. 431-436 - Eunice Akani, Benoît Favre, Frédéric Béchet, Romain Gemignani:
Reducing named entity hallucination risk to ensure faithful summary generation. 437-442 - David M. Howcroft, William Lamb, Anna Groundwater, Dimitra Gkatzia:
Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic). 443-448 - Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen:
Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls. 449-454 - Simon Mille, Francois Lareau, Stamatia Dasiopoulou, Anya Belz:
Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation. 455-466
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