Value Retrieval with Arbitrary Queries for Form-like Documents

• URL: http://arxiv.org/abs/2112.07820v1
• Date: Wed, 15 Dec 2021 01:12:02 GMT
• Title: Value Retrieval with Arbitrary Queries for Form-like Documents
• Authors: Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong
• Abstract summary: We propose value retrieval with arbitrary queries for form-like documents. Our method predicts target value for an arbitrary query based on the understanding of layout and semantics of a form. We propose a simple document language modeling (simpleDLM) strategy to improve document understanding on large-scale model pre-training.
• Score: 50.5532781148902
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: We propose value retrieval with arbitrary queries for form-like documents to reduce human effort of processing forms. Unlike previous methods that only address a fixed set of field items, our method predicts target value for an arbitrary query based on the understanding of layout and semantics of a form. To further boost model performance, we propose a simple document language modeling (simpleDLM) strategy to improve document understanding on large-scale model pre-training. Experimental results show that our method outperforms our baselines significantly and the simpleDLM further improves our performance on value retrieval by around 17\% F1 score compared with the state-of-the-art pre-training method. Code will be made publicly available.

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