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 .
Step Towards Disease Outbreak Information Extraction: Automatic ...
http://naist.cpe.ku.ac.th/SlideSNLP2007/131207/A%20Step%20Towards%20Disease%20Outbreak%20Information%20Extraction%20Automatic%20Entity%20Role%20Recognition%20for%20Named%20Entities.pdf
A technique for studying disorder in quantum systems is able to spot significant patterns in large data sets such as web pages, and may be adaptable to
M. Schwab, R. Jäschke, und F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, Seite 110--115. Association for Computational Linguistics, (2023)
M. Schwab, R. Jäschke, und F. Fischer. Proceedings of the 5th International Conference on Natural Language and Speech Processing, Seite 282--287. Association for Computational Linguistics, (2022)
F. Arnold, und R. Jäschke. Proceedings of the Workshop Understanding LIterature references in academic full TExt at JCDL 2022, Volume 3220 von ULITE-ws '22, Seite 7--15. CEUR Workshop Proceedings, (2022)