March 5, 2024, 2:52 p.m. | Yifei Yang, Tianqiao Liu, Bo Shao, Hai Zhao, Linjun Shou, Ming Gong, Daxin Jiang

cs.CL updates on arXiv.org arxiv.org

arXiv:2403.01698v1 Announce Type: new
Abstract: Webpage entity extraction is a fundamental natural language processing task in both research and applications. Nowadays, the majority of webpage entity extraction models are trained on structured datasets which strive to retain textual content and its structure information. However, existing datasets all overlook the rich hypertext features (e.g., font color, font size) which show their effectiveness in previous works. To this end, we first collect a \textbf{H}ypertext \textbf{E}ntity \textbf{E}xtraction \textbf{D}ataset (\textit{HEED}) from the e-commerce domains, …

abstract applications arxiv color cs.ai cs.cl datasets extraction features information language language processing natural natural language natural language processing processing research textual type

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