意大利语填字游戏生成器：通过交互式字谜增强教育
Italian Crossword Generator: Enhancing Education through Interactive Word Puzzles
AI总结：
本文利用GPT3和BERT等语言模型，通过监督微调与Zero/Few-shot learning技术，开发了一个能从关键词或文本生成并验证线索的意大利语填字游戏系统，有效提升了教育填字游戏的质量与学习体验。
摘要：
教育类填字游戏为学生提供了诸多益处，包括提高参与度、加深理解、培养批判性思维和增强记忆力。创建高质量的教育填字游戏可能具有挑战性，但自然语言处理和机器学习的最新进展使得使用语言模型生成巧妙的文字游戏成为可能。利用 GPT3-DaVinci、GPT3-Curie、GPT3-Babbage、GPT3-Ada 和 BERT-uncased 等前沿语言模型，开发了一个用于生成和验证填字游戏线索的综合系统。我们编制了一个包含线索-答案对的大型数据集，以监督方式微调模型，从而根据给定关键词生成原创且具挑战性的线索。另一方面，为了从给定文本生成填字游戏线索，我们使用了 Zero/Few-shot learning 技术从输入文本中提取线索，为谜题增加了多样性和创造力。我们采用微调后的模型生成数据，并在人工监督下标注线索-答案部分的可接受性。为确保质量，我们通过在标注数据集上微调现有语言模型开发了一个分类器。相反，为了评估使用零/少样本学习从给定文本生成的线索质量，我们采用了零样本学习方法来检查生成线索的质量。评估结果非常有前景，证明了该方法在创建高标准教育填字游戏方面的有效性，这些游戏为学生提供了引人入胜且富有回报的学习体验。
英文摘要：
Educational crosswords offer numerous benefits for students, including increased engagement, improved understanding, critical thinking, and memory retention. Creating high-quality educational crosswords can be challenging, but recent advances in natural language processing and machine learning have made it possible to use language models to generate nice wordplays. The exploitation of cutting-edge language models like GPT3-DaVinci, GPT3-Curie, GPT3-Babbage, GPT3-Ada, and BERT-uncased has led to the development of a comprehensive system for generating and verifying crossword clues. A large dataset of clue-answer pairs was compiled to fine-tune the models in a supervised manner to generate original and challenging clues from a given keyword. On the other hand, for generating crossword clues from a given text, Zero/Few-shot learning techniques were used to extract clues from the input text, adding variety and creativity to the puzzles. We employed the fine-tuned model to generate data and labeled the acceptability of clue-answer parts with human supervision. To ensure quality, we developed a classifier by fine-tuning existing language models on the labeled dataset. Conversely, to assess the quality of clues generated from the given text using zero/few-shot learning, we employed a zero-shot learning approach to check the quality of generated clues. The results of the evaluation have been very promising, demonstrating the effectiveness of the approach in creating high-standard educational crosswords that offer students engaging and rewarding learning experiences.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
