The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
CorTag: A Language for a Contextual Tagging of the Words Within Their Sentence
Abstract
This chapter argues that in order to extract significant knowledge from masses of technical texts, it is necessary to provide the field specialists with programming tools with which they themselves may use to program their text analysis tools. These programming tools, besides helping the programming effort of the field specialists, must also help them to gather the field knowledge necessary for defining and retrieving what they define as significant knowledge. This necessary field knowledge must be included in a well-structured and easy to use part of the programming tool. In this chapter, we present CorTag, a programming tool which is designed to correct existing tags in a text and to assist the field specialist to retrieve the knowledge and/or information he or she is looking for.
Related Content
|
Rahul Kumar, Devvret Verma, Bahman Khoshru, Adeyemi Nurudeen Olatunbosun.
© 2026.
36 pages.
|
|
S. Ida Evangeline.
© 2026.
34 pages.
|
|
Rahul Kumar, Rachan Karmakar, Sanja Živković, Tanja Vasić.
© 2026.
42 pages.
|
|
Poonam K. Verma, Nisha Chandran.
© 2026.
20 pages.
|
|
Odangowei Inetiminebi Ogidi, Shoheb Shakil Shaikh, Mukul Machhindra Barwant.
© 2026.
42 pages.
|
|
Harsh Virendrabhai Purohit, Veda Pandya.
© 2026.
30 pages.
|
|
Rachan Karmakar, Divya Gunsola, Debasis Mitra, Viralkumar B. Mandaliya, Arti Thakur, Addisu Assefa, Sourav Chattaraj, Mukul Machhindra Barwant, Uma Eswaranpillai, Ponmurugan Karuppiah.
© 2026.
28 pages.
|
|
|