INLG (Generation Challenges)

Publications

2023

Shabnam Behzad, Amir Zeldes, Nathan Schneider
Sentence-level Feedback Generation for English Language Learners: Does Data Augmentation Help? INLG (Generation Challenges) (2023)
Proceedings of the 16th International Natural Language Generation Conference, INLG 2023 - Generation Challenges, Prague, Czechia, September 11 - 15, 2023 INLG (Generation Challenges) (2023)
Ryo Nagata, Masato Hagiwara, Kazuaki Hanawa, Masato Mita
A Report on FCG GenChal 2022: Shared Task on Feedback Comment Generation for Language Learners. INLG (Generation Challenges) (2023)
Nikolai Ilinykh, Simon Dobnik
The VDG Challenge: Response Generation and Evaluation in Collaborative Visual Dialogue. INLG (Generation Challenges) (2023)
Kunitaka Jimichi, Kotaro Funakoshi, Manabu Okumura
Feedback comment generation using predicted grammatical terms. INLG (Generation Challenges) (2023)
Tirthankar Ghosal, Ondrej Bojar, Marie Hledíková, Tom Kocmi, Anna Nedoluzhko
Overview of the Second Shared Task on Automatic Minuting (AutoMin) at INLG 2023. INLG (Generation Challenges) (2023)
Frantisek Kmjec, Ondrej Bojar
Team Iterate @ AutoMin 2023 - Experiments with Iterative Minuting. INLG (Generation Challenges) (2023)
Nikolay Babakov, Maria Lysyuk, Alexander Shvets, Lilya Kazakova, Alexander Panchenko
Error syntax aware augmentation of feedback comment generation dataset. INLG (Generation Challenges) (2023)
Maja Stahl, Henning Wachsmuth
Identifying Feedback Types to Augment Feedback Comment Generation. INLG (Generation Challenges) (2023)
Mana Ihori, Hiroshi Sato, Tomohiro Tanaka, Ryo Masumura
Retrieval, Masking, and Generation: Feedback Comment Generation using Masked Comment Examples. INLG (Generation Challenges) (2023)
Naoya Ueda, Mamoru Komachi
TMU Feedback Comment Generation System Using Pretrained Sequence-to-Sequence Language Models. INLG (Generation Challenges) (2023)
Khyathi Raghavi Chandu, David M. Howcroft, Dimitra Gkatzia, Yi-Ling Chung, Yufang Hou, Chris Chinenye Emezue, Pawan Rajpoot, Tosin P. Adewumi
LOWRECORP: the Low-Resource NLG Corpus Building Challenge. INLG (Generation Challenges) (2023)
Kristýna Klesnilová, Michelle Elizabeth
Team Synapse @ AutoMin 2023: Leveraging BART-Based Models for Automatic Meeting Minuting. INLG (Generation Challenges) (2023)
Felix Schneider, Marco Turchi
Team Zoom @ AutoMin 2023: Utilizing Topic Segmentation And LLM Data Augmentation For Long-Form Meeting Summarization. INLG (Generation Challenges) (2023)
Ismaël Rousseau, Loïc Fosse, Youness Dkhissi, Géraldine Damnati, Gwénolé Lecorvé
Darbarer @ AutoMin2023: Transcription simplification for concise minute generation from multi-party conversations. INLG (Generation Challenges) (2023)
Nikolay Mikhaylovskiy
Long Story Generation Challenge. INLG (Generation Challenges) (2023)
Xudong Hong, Khushboo Mehra, Asad B. Sayeed, Vera Demberg
Visually Grounded Story Generation Challenge. INLG (Generation Challenges) (2023)
Eugene Borisov, Nikolay Mikhaylovskiy
Team NTR @ AutoMin 2023: Dolly LLM Improves Minuting Performance, Semantic Segmentation Doesn't. INLG (Generation Challenges) (2023)
Yoshinobu Kano, Neo Watanabe, Kaito Kagaminuma, Claus Aranha, Jaewon Lee, Benedek Hauer, Hisaichi Shibata, Soichiro Miki, Yuta Nakamura, Takuya Okubo, Soga Shigemura, Rei Ito, Kazuki Takashima, Tomoki Fukuda, Masahiro Wakutani, Tomoya Hatanaka, Mami Uchida, Mikio Abe, Akihiro Mikami, Takashi Otsuki, Zhiyang Qi, Kei Harada, Michimasa Inaba, Daisuke Katagami, Hirotaka Osawa, Fujio Toriumi
AIWolfDial 2023: Summary of Natural Language Division of 5th International AIWolf Contest. INLG (Generation Challenges) (2023)
Shota Koyama, Hiroya Takamura, Naoaki Okazaki
The Tokyo Tech and AIST System at the GenChal 2022 Shared Task on Feedback Comment Generation. INLG (Generation Challenges) (2023)