دورية أكاديمية

Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain.

التفاصيل البيبلوغرافية
العنوان: Stylized Data-to-text Generation: A Case Study in the E-Commerce Domain.
المؤلفون: LIQIANG JING1, XUEMENG SONG1, XUMING LIN2, ZHONGZHOU ZHAO2, WEI ZHOU2, LIQIANG NIE3
المصدر: ACM Transactions on Information Systems. Jan2024, Vol. 42 Issue 1, p1-24. 24p.
مستخلص: The article focuses on stylized data-to-text generation in the e-commerce domain, introducing a new task where the goal is to generate coherent text for non-linguistic data according to specific styles. Topics include the challenges ensuring the logic of generated text, handling unstructured style references, and mitigating biased training samples.
قاعدة البيانات: Library, Information Science & Technology Abstracts
الوصف
تدمد:10468188
DOI:10.1145/3603374