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Later, Mr. Bosworth focused on Internet software, working on Microsoft's Internet Explorer browser and then XML, an open technology for tagging text documents on the Web and data sharing between programs.
Manually tagging text documents is a very slow and tedious process; tagging enough documents that could be used to train an entity extraction system could easily take months and involve a large number of human experts' and wastes' valuable time for system users.
Tagging Text Posts: Same as for mobile browser/desktop (see above).[7].
Tagging Text Posts: Identical to Apple/Android except that you have to put an "@" sign before every tag — even for your friends.[9].
Tagging Text Posts: Virtually the same as for desktop — start typing the name of the person or group and select the appropriate option from the list that drops down.
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The latter is expected to be more useful when tagging texts with little consistency in capital letter usage.
Much information is potentially available as structured text including tagged text in XML, text in relational and object-oriented databases, and the output from information extraction systems in the form of instantiated templates.
To be able to implement and compare the performance of chemical NER systems the availability of large enough manually tagged text corpora is a key requisite.
Due to the considerable workload required for the construction of manually annotated corpora, some efforts have been made to construct automatically tagged text collections generated by different systems.
Extending MediaWiki in this way provided the capability to rapidly sift through the content in the wiki based on the semantically tagged text.
The reported F-scores were 76.91 for the tagged text and 60.61 for raw text by curator 1 and 73.17 for tagged text and 60.61 for raw text by curator 2 (Table 5).
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