Papers with cross-document type learning

1 papers
A Web Scale Entity Extraction System (2021.findings-emnlp)

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Challenge: Existing systems for large-scale entity extraction are limited by the scale and variety of data available on internet platforms.
Approach: They propose to build an entity extraction system for multiple document types at large scale using multi-modal Transformers.
Outcome: The proposed system extracts multiple types of entities from multiple document types at large scale using multi-modal Transformers.

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