ملف الباحث

Luca Ragazzi

ورقة واحدة في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. Semantic Self-Segmentation for Abstractive Summarization of Long Documents in Low-Resource Regimes

    2022 · Proceedings of the AAAI Conference on Artificial Intelligence

    The quadratic memory complexity of transformers prevents long document summarization in low computational resource scenarios. State-of-the-art models need to apply input truncation, thus discarding and ignoring potential summary-relevant contents, leading to a performance drop. Furthermore, …