Named Entity Recognition Using Web Document Corpus
Institut Supérieur de Gestion de Tunis
Abstract
Abstract This paper introduces a named entity recognition approach in textual corpus. This Named Entity (NE)can be a named: location, person, organization, date, time, etc., characterized by instances. A NE isfound in texts accompanied by contexts: words that are left or right of the NE. The work mainly aims atidentifying contexts inducing the NE’s nature. As such, The occurrence of the word "President" in atext, means that this word or context may be followed by the name of a president as President"Obama". Likewise, a word preceded by the string "footballer" induces that this is the name of afootballer. NE recognition may be viewed as a classification method, where every word is assigned toa NE class,…
Citation impact
- FWCI
- 0.00
- Percentile
- 97%
- References
- 14
Authors
1Topics & keywords
- Computer science
- Context (archaeology)
- Natural language processing
- Word (group theory)
- String (physics)
- Artificial intelligence
- Class (philosophy)
- Word lists by frequency
- Peace, Justice and strong institutions