Luyang Huang

Knowledge Graph-Augmented Abstractive Summarization with Semantic-Driven Cloze Reward

2020 · arXiv (Cornell University)

Sequence-to-sequence models for abstractive summarization have been studied extensively, yet the generated summaries commonly suffer from fabricated content, and are often found to be near-extractive. We argue that, to address these issues, the summarizer should …

Efficient Attentions for Long Document Summarization

2021

Luyang Huang, Shuyang Cao, Nikolaus Parulian, Heng Ji, Lu Wang. Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies. 2021.