Text mining and web scraping involves chunk parsing and recognition of named entities (institutions, dates, titles)...The extraction of named entities is mostly based on a strategy that combines look up in gazetteers (lists of companies, cities, etc.) wit
The main task of the GenIELex project is the development of a biochemistry specific lexicon as well as of an annotated corpus for the evaluation of the system. The need for the construction of such a lexicon is illustrated by the following figures, based
Todays feature of the week post will point you to one of the hidden features of the system. As most of you certainly know one way to acquire the meta data of a publication is to use the screen scraping facility of BibSonomy.
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
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
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 .
M. Schwab, R. Jäschke, и F. Fischer. Proceedings of the 7th Joint SIGHUM Workshop on Computational Linguistics for Cultural Heritage, Social Sciences, Humanities and Literature, стр. 110--115. Association for Computational Linguistics, (2023)
F. Arnold, и R. Jäschke. Proceedings of the Workshop Understanding LIterature references in academic full TExt at JCDL 2022, том 3220 из ULITE-ws '22, стр. 7--15. CEUR Workshop Proceedings, (2022)
M. Schwab, R. Jäschke, и F. Fischer. Proceedings of the 5th International Conference on Natural Language and Speech Processing, стр. 282--287. Association for Computational Linguistics, (2022)