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INLG - 2023
Total Papers:- 62
Total Papers accross all years:- 848
Total Citations :- 0
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Claim Optimization in Computational Argumentation
Gabriella Skitalinskaya |
Maximilian Spliethöver |
Henning Wachsmuth |
Generating clickbait spoilers with an ensemble of large language models
Mateusz Woźny |
Mateusz Lango |
HL Dataset: Visually-grounded Description of Scenes, Actions and Rationales
Michele Cafagna |
Kees van Deemter |
Albert Gatt |
Validating Predictive Models Of Evaluative Language For Controllable Data2Text Generation
Maurice Langner |
Ralf Klabunde |
TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models
Naoya Ueda |
Mamoru Komachi |
Generating Faithful Text From a Knowledge Graph with Noisy Reference Text
Tahsina Hashem |
Weiqing Wang |
Derry Tanti Wijaya |
Mohammed Eunus Ali |
Yuan-Fang Li |
A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners
Ryo Nagata |
Masato Hagiwara |
Kazuaki Hanawa |
Masato Mita |
Exploring the Naturalness of Cognitive Status-Informed Referring Form Selection Models
Gabriel Del Castillo |
Grace Clark |
Zhao Han |
Tom Williams |
Proceedings of the 16th International Natural Language Generation Conference
C. Maria Keet |
Hung-Yi Lee |
Sina Zarrieß |
Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization
Felix Schneider |
Marco Turchi |
The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation
Shota Koyama |
Hiroya Takamura |
Naoaki Okazaki |
ChatGPT’s Information Seeking Strategy: Insights from the 20-Questions Game
Leonardo Bertolazzi |
Davide Mazzaccara |
Filippo Merlo |
Raffaella Bernardi |
XF2T: Cross-lingual Fact-to-Text Generation for Low-Resource Languages
Shivprasad Sagare |
Tushar Abhishek |
Bhavyajeet Singh |
Anubhav Sharma |
Manish Gupta |
Vasudeva Varma |
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help?
Shabnam Behzad |
Amir Zeldes |
Nathan Schneider |
Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn’t
Eugene Borisov |
Nikolay Mikhaylovskiy |
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