To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months.
To help researchers investigate relation extraction, we’re releasing a human-judged dataset of two relations about public figures on Wikipedia: nearly 10,000 examples of “place of birth”, and over 40,000 examples of “attended or graduated from an institution”. Each of these was judged by at least 5 raters, and can be used to train or evaluate relation extraction systems. We also plan to release more relations of new types in the coming months.
Anything To Triples (any23) is a library, a web service and a command line tool that extracts structured data in RDF format from a variety of Web documents.
Apache Tika is a toolkit for detecting and extracting metadata and structured text content from various documents using existing parser libraries. For more information about Tika, please see the list of supported document formats and the available documentation . You can find the latest release on the download page . See the Getting Started guide for instructions on how to start using Tika.
Tika is a subproject of Apache Lucene . Lucene is a project of the Apache Software Foundation .
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