16th International Natural Language Generation Conference

11-15 September 2023

Accepted Papers

Long Papers

Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation.
Nicolas Garneau and Luc Lamontagne

XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages.
Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta and Vasudeva Varma

Preventing Generation of Verbatim Memorization in Language Models Gives a False Sense of Privacy.
Daphne Ippolito, Florian Tramer, Milad Nasr, Chiyuan Zhang, Matthew Jagielski, Katherine Lee, Christopher Choquette Choo and Nicholas Carlini

Fine-Tuning GPT-3 for Synthetic Danish News Generation.
Mina Almasi and Anton Schiønning

GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications.
Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy and Renxian Zhang

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
Chieh-Yang Huang, Ting-Yao Hsu, Ryan Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C Lee Giles and Ting-Hao Huang

Models of reference production: How do they withstand the test of time?
Fahime Same, Guanyi Chen and Kees van Deemter

Generating Faithful Text From a Knowledge Graph with Noisy Reference Text.
Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali and Yuan-Fang Li

Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings.
Laura Mascarell, Ribin Chalumattu and Julien Heitmann

Claim Optimization in Computational Argumentation.
Gabriella Skitalinskaya, Maximilian Spliethöver and Henning Wachsmuth

ChatGPT's Information Seeking Strategy: Insights from the 20-Question Game.
Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo and Raffaella Bernardi

This is not correct! Negation-aware Evaluation of Language Generation Systems.
Miriam Anschütz, Diego Miguel Lozano and Georg Groh

Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis.
Jan Trienes, Paul Youssef, Jörg Schlötterer and Christin Seifert

A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation.
Shiv Surya, Yohan Jo, Arijit Biswas and Alexandros Potamianos

Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models.
Judith Sieker, Oliver Bott, Torgrim Solstad and Sina Zarrieß

Enhancing factualness and controllability of Data-to-Text Generation via data Views and constraints.
Craig Thomson, Clement Rebuffel, Ehud Reiter, Laure Soulier, Somayajulu Sripada and patrick Gallinari

Memories for Virtual AI Characters.
Fabian Landwehr, Erika Varis Doggett and Romann M. Weber

Optimizing Example Selection for In-context Learning: A Case Study in Text Simplification.
Subhadra Vadlamannati and Gözde Şahin

Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models.
Gabriel Del Castillo, Grace Clark, Zhao Han and Tom Williams

System-Initiated Transitions from Chit-Chat to Task-Oriented Dialogues with Transition Info Extractor and Transition Sentence Generator.
Ye Liu, Stefan Ultes, Wolfgang Minker and Wolfgang Maier

HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales.
Michele Cafagna, Kees van Deemter and Albert Gatt

Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation.
Maurice Langner and Ralf Klabunde

Can LLMs Learn better Storytelling With A Few Examples?
Zhuohan Xie, Trevor Cohn and Jey Han Lau

Trustworthiness of Children Stories Generated by Large Language Models.
Prabin Bhandari and Hannah Brennan

On Text Style Transfer via Style Masked Language Models.
Sharan Narasimhan, Pooja H, Suvodip Dey and Maunendra Sankar Desarkar

Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions.
Yarik Menchaca Resendiz and Roman Klinger

Short Papers

Leveraging Low-resource Parallel Data for Text Style Transfer.
Sourabrata Mukherjee and Ondrej Dusek

Reverse-Engineering Language Model Decoding Strategies Given Blackbox Access to a Generation System.
Daphne Ippolito, Nicholas Carlini, Katherine Lee, Milad Nasr and Yun William Yu

Controlling keywords and their positions in text generation.
Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi and Yasuhiro Sogawa

Tackling Hallucinations in Neural Chart Summarization.
Saad Obaid ul Islam, Iza Škrjanec, Ondrej Dusek and Vera Demberg

Learning Disentangled Meaning and Style Representations for Positive Text Reframing.
Xu Sheng, Fumiyo Fukumoto, Jiyi Li, Go Kentaro and Yoshimi Suzuki

Generating clickbait spoilers with an ensemble of large language models.
Mateusz Woźny and Mateusz Lango

Reducing named entity hallucination risk to ensure faithful summary generation.
Eunice Akani, Benoit Favre, Frederic Bechet and Romain GEMIGNANI

Building a dual dataset of text- and image-grounded conversations and summarisation in Gàidhlig (Scottish Gaelic).
David M. Howcroft, William Lamb, Anna Groundwater and Dimitra Gkatzia

Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls.
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang and Hsin-Hsi Chen

Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation.
Simon Mille, Francois Lareau, Anya Belz and Stamatia Dasiopoulou

Demo Papers

MiReportor: Medical Imaging Report Generator for Understanding and Interpreting Multimodal Medical Images.
Xuwen Wang, Hetong Ma, Zhen Guo, Lin Yang and Jiao Li

enlg: a Python library for reproducible neural data-to-text experimentation.
David M. Howcroft and Dimitra Gkatzia

VisuaLLM: Easy Web-based Visualization for Neural Language Generation.
František Trebuňa and Ondrej Dusek

Audio Commentary System for Real-Time Racing Game Play.
Tatsuya Ishigaki, Goran Topić, Yumi Hamazono, Ichiro Kobayashi, Yusuke Miyao and Hiroya Takamura