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Register a new userUsing Neighborhood Context to Improve Information Extraction from Visual Documents Captured on Mobile Phones
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Added by
Kalpa Gunaratna
Publication date
2021
fields
Informatics Engineering
and research's language is
English
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No Arabic abstract
Information Extraction from visual documents enables convenient and intelligent assistance to end users. We present a Neighborhood-based Information Extraction (NIE) approach that uses contextual language models and pays attention to the local neighborhood context in the visual documents to improve information extraction accuracy. We collect two different visual document datasets and show that our approach outperforms the state-of-the-art global context-based IE technique. In fact, NIE outperforms existing approaches in both small and large model sizes. Our on-device implementation of NIE on a mobile platform that generally requires small models showcases NIEs usefulness in practical real-world applications.
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