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Found 3 papers, 1 papers with code
Probabilistic Models of Relational Implication
By using estimators based on the empirical distribution of our dataset, we demonstrate that our model outperforms existing approaches.
Extracting structured data from invoices
Business documents encode a wealth of information in a format tailored to human consumption {--} i. e. aesthetically disbursed natural language text, graphics and tables.
BIG-bench Machine Learning
Optical Character Recognition (OCR)
Presenting a New Dataset for the Timeline Generation Problem
The timeline generation task summarises an entity's biography by selecting stories representing key events from a large pool of relevant documents.
