تقرير
NoticIA: A Clickbait Article Summarization Dataset in Spanish
| العنوان: | NoticIA: A Clickbait Article Summarization Dataset in Spanish |
|---|---|
| المؤلفون: | García-Ferrero, Iker, Altuna, Begoña |
| سنة النشر: | 2024 |
| المجموعة: | Computer Science |
| مصطلحات موضوعية: | Computer Science - Computation and Language, Computer Science - Artificial Intelligence |
| الوصف: | We present NoticIA, a dataset consisting of 850 Spanish news articles featuring prominent clickbait headlines, each paired with high-quality, single-sentence generative summarizations written by humans. This task demands advanced text understanding and summarization abilities, challenging the models' capacity to infer and connect diverse pieces of information to meet the user's informational needs generated by the clickbait headline. We evaluate the Spanish text comprehension capabilities of a wide range of state-of-the-art large language models. Additionally, we use the dataset to train ClickbaitFighter, a task-specific model that achieves near-human performance in this task. Comment: Accepted in the journal Procesamiento del Lenguaje Natural |
| نوع الوثيقة: | Working Paper |
| URL الوصول: | http://arxiv.org/abs/2404.07611 |
| رقم الأكسشن: | edsarx.2404.07611 |
| قاعدة البيانات: | arXiv |
| الوصف غير متاح. |