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A LayoutLMv3-Based Model for Enhanced Relation Extraction in Visually-Rich Documents
April 18, 2024, 4:46 a.m. | Wiam Adnan, Joel Tang, Yassine Bel Khayat Zouggari, Seif Edinne Laatiri, Laurent Lam, Fabien Caspani
cs.CL updates on arXiv.org arxiv.org
Abstract: Document Understanding is an evolving field in Natural Language Processing (NLP). In particular, visual and spatial features are essential in addition to the raw text itself and hence, several multimodal models were developed in the field of Visual Document Understanding (VDU). However, while research is mainly focused on Key Information Extraction (KIE), Relation Extraction (RE) between identified entities is still under-studied. For instance, RE is crucial to regroup entities or obtain a comprehensive hierarchy of …
abstract arxiv cs.ai cs.cl cs.lg document documents document understanding extraction features however language language processing multimodal multimodal models natural natural language natural language processing nlp processing raw research spatial text type understanding visual
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