Testing the Extracting Metadata for Preservation project's Named-Entity Recognizer on metadata

摘要

Named entity recognition software shown to perform well in free-text performed reasonably well in textual descriptive metadata, but experienced considerably more errors in dealing with titles. Capitalization conventions and fragmentary sentences used in titles may require deliberate compensatory additions to the training data of the machine learning software behind the recognizer.