Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy
Presented on , 25 citations on Google Scholar
In short
The paper proposes a way to build educational crossword clue datasets by pairing Wikipedia content with keywords and having LLMs write clues, producing clue-instruct with 44,075 examples. LLMs instructed on it generated educational clues whose quality was confirmed by human and automatic evaluation.
Cite
@inproceedings{zugarini-etal-2024-clue,
title = "Clue-Instruct: Text-Based Clue Generation for Educational Crossword Puzzles",
author = "Zugarini, Andrea and
Zeinalipour, Kamyar and
Kadali, Surya Sai and
Maggini, Marco and
Gori, Marco and
Rigutini, Leonardo",
editor = "Calzolari, Nicoletta and
Kan, Min-Yen and
Hoste, Veronique and
Lenci, Alessandro and
Sakti, Sakriani and
Xue, Nianwen",
booktitle = "Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation ({LREC}-{COLING} 2024)",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.lrec-main.297/",
pages = "3347--3356"
}