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Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
March 26, 2024, 4:50 a.m. | Minghui Xu, Hao Fei, Fei Li, Shengqiong Wu, Rui Sun, Chong Teng, Donghong Ji
cs.CL updates on arXiv.org arxiv.org
Abstract: Headline generation aims to summarize a long document with a short, catchy title that reflects the main idea. This requires accurately capturing the core document semantics, which is challenging due to the lengthy and background information-rich na ture of the texts. In this work, We propose using a unified semantic discourse structure (S3) to represent document semantics, achieved by combining document-level rhetorical structure theory (RST) trees with sentence-level abstract meaning representation (AMR) graphs to construct …
abstract arxiv core cs.ai cs.cl discourse document information modeling quality semantic semantics type work
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