Harnessing LLMs for Educational Content-Driven Italian Crossword Generation
Proceedings of the Tenth Italian Conference on Computational Linguistics (CLiC-it 2024), Pisa, Italy, CEUR Workshop Proceedings
Presented on , 9 citations on Google Scholar
In short
The paper builds a tool that generates Italian crossword puzzles from educational text using GPT-4o, Mistral-7B-Instruct-v0.3 and Llama3-8B-Instruct, supported by Italian-Clue-Instruct, a dataset of over 30,000 entries. It covers four clue styles: unconstrained clues, definite determiner phrases, copular sentences and bare noun phrases.
Cite
@inproceedings{zeinalipour-etal-2024-harnessing,
title = "Harnessing {LLM}s for Educational Content-Driven {I}talian Crossword Generation",
author = "Zeinalipour, Kamyar and
Fusco, Achille and
Zanollo, Asya and
Maggini, Marco and
Gori, Marco",
editor = "Dell'Orletta, Felice and
Lenci, Alessandro and
Montemagni, Simonetta and
Sprugnoli, Rachele",
booktitle = "Proceedings of the Tenth {I}talian Conference on Computational Linguistics ({CL}i{C}-it 2024)",
month = dec,
year = "2024",
address = "Pisa, Italy",
publisher = "CEUR Workshop Proceedings",
url = "https://aclanthology.org/2024.clicit-1.110/",
pages = "1013--1023",
ISBN = "979-12-210-7060-6"
}