INLG

Publications

2023

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. INLG (2023)
Sourabrata Mukherjee, Ondrej Dusek
Leveraging Low-resource Parallel Data for Text Style Transfer. INLG (2023)
Tahsina Hashem, Weiqing Wang, Derry Tanti Wijaya, Mohammed Eunus Ali, Yuan-Fang Li
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text. INLG (2023)
Miriam Anschütz, Diego Miguel Lozano, Georg Groh
This is not correct! Negation-aware Evaluation of Language Generation Systems. INLG (2023)
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. INLG (2023)
Daphne Ippolito, Nicholas Carlini, Katherine Lee, Milad Nasr, Yun William Yu
Reverse-Engineering Decoding Strategies Given Blackbox Access to a Language Generation System. INLG (2023)
Saad Obaid ul Islam, Iza Skrjanec, Ondrej Dusek, Vera Demberg
Tackling Hallucinations in Neural Chart Summarization. INLG (2023)
Yining Juan, Chung-Chi Chen, Hen-Hsen Huang, Hsin-Hsi Chen
Generating Multiple Questions from Presentation Transcripts: A Pilot Study on Earnings Conference Calls. INLG (2023)
Mina Almasi, Anton Schiønning
Fine-Tuning GPT-3 for Synthetic Danish News Generation. INLG (2023)
Judith Sieker, Oliver Bott, Torgrim Solstad, Sina Zarrieß
Beyond the Bias: Unveiling the Quality of Implicit Causality Prompt Continuations in Language Models. INLG (2023)
Shiv Surya, Yohan Jo, Arijit Biswas, Alexandros Potamianos
A Zero-Shot Approach for Multi-User Task-Oriented Dialog Generation. INLG (2023)
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. INLG (2023)
Eunice Akani, Benoît Favre, Frédéric Béchet, Romain Gemignani
Reducing named entity hallucination risk to ensure faithful summary generation. INLG (2023)
Mateusz Wozny, Mateusz Lango
Generating clickbait spoilers with an ensemble of large language models. INLG (2023)
Sheng Xu, Fumiyo Fukumoto, Jiyi Li, Kentaro Go, Yoshimi Suzuki
Learning Disentangled Meaning and Style Representations for Positive Text Reframing. INLG (2023)
Zhuohan Xie, Trevor Cohn, Jey Han Lau
The Next Chapter: A Study of Large Language Models in Storytelling. INLG (2023)
Leonardo Bertolazzi, Davide Mazzaccara, Filippo Merlo, Raffaella Bernardi
ChatGPT's Information Seeking Strategy: Insights from the 20-Questions Game. INLG (2023)
Yarik Menchaca Resendiz, Roman Klinger
Affective Natural Language Generation of Event Descriptions through Fine-grained Appraisal Conditions. INLG (2023)
Fahime Same, Guanyi Chen, Kees van Deemter
Models of reference production: How do they withstand the test of time? INLG (2023)
Gabriel Del Castillo, Grace Clark, Zhao Han, Tom Williams
Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models. INLG (2023)
Gabriella Skitalinskaya, Maximilian Spliethöver, Henning Wachsmuth
Claim Optimization in Computational Argumentation. INLG (2023)
Shivprasad Sagare, Tushar Abhishek, Bhavyajeet Singh, Anubhav Sharma, Manish Gupta, Vasudeva Varma
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages. INLG (2023)
Nicolas Garneau, Luc Lamontagne
Guided Beam Search to Improve Generalization in Low-Resource Data-to-Text Generation. INLG (2023)
Subhadra Vadlamannati, Gözde Gül Sahin
Metric-Based In-context Learning: A Case Study in Text Simplification. INLG (2023)
Prabin Bhandari, Hannah Marie Brennan
Trustworthiness of Children Stories Generated by Large Language Models. INLG (2023)
Maurice Langner, Ralf Klabunde
Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation. INLG (2023)
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. INLG (2023)
Dae Yon Hwang, Yaroslav Nechaev, Cyprien de Lichy, Renxian Zhang
GAN-LM: Generative Adversarial Network using Language Models for Downstream Applications. INLG (2023)
Proceedings of the 16th International Natural Language Generation Conference, INLG 2023, Prague, Czechia, September 11 - 15, 2023 INLG (2023)
Michele Cafagna, Kees van Deemter, Albert Gatt
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales. INLG (2023)
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). INLG (2023)
Jan Trienes, Paul Youssef, Jörg Schlötterer, Christin Seifert
Guidance in Radiology Report Summarization: An Empirical Evaluation and Error Analysis. INLG (2023)
Fabian Landwehr, Erika Varis Doggett, Romann M. Weber
Memories for Virtual AI Characters. INLG (2023)
Sharan Narasimhan, Pooja H, Suvodip Dey, Maunendra Sankar Desarkar
On Text Style Transfer via Style-Aware Masked Language Models. INLG (2023)
Laura Mascarell, Ribin Chalumattu, Julien Heitmann
Entropy-based Sampling for Abstractive Multi-document Summarization in Low-resource Settings. INLG (2023)
Yuichi Sasazawa, Terufumi Morishita, Hiroaki Ozaki, Osamu Imaichi, Yasuhiro Sogawa
Controlling keywords and their positions in text generation. INLG (2023)
Simon Mille, Francois Lareau, Stamatia Dasiopoulou, Anya Belz
Mod-D2T: A Multi-layer Dataset for Modular Data-to-Text Generation. INLG (2023)

2021