| G.-A. Levow. Corpus-based techniques for word sense disambiguation. Technical Report AIM-1637, MIT AI Lab, 1, 1997. |
....disambiguation knowledge and even more difficult to manually maintain and further expand the disambiguation knowledge to handle real world sentences. In order to solve this problem, some researchers decided to use pre coded informa tion in the form of machine readable dictionaries and thesauri [10] [13] Others started to build their own dictionaries and thesauri with information concluded from statistics over large corpora. This approach is called the corpus based approach [10] In contrast to manually hand coding the disambiguation knowledge into a system, the corpus based approach uses ....
....some researchers decided to use pre coded informa tion in the form of machine readable dictionaries and thesauri [10] 13] Others started to build their own dictionaries and thesauri with information concluded from statistics over large corpora. This approach is called the corpus based approach [10]. In contrast to manually hand coding the disambiguation knowledge into a system, the corpus based approach uses machine learning techniques to automatically acquire disambiguation knowledge, e.g. verb object relations, from large corpora. 10 Methods of Corpus Based WSD Corpus based WSD systems ....
Gina-Anne Levow. Corpus-based techniques for Word Sense Disambiguation. Area-Exam. MIT.
No context found.
G.-A. Levow. Corpus-based techniques for word sense disambiguation. Technical Report AIM-1637, MIT AI Lab, 1, 1997.
Online articles have much greater impact More about CiteSeer.IST Add search form to your site Submit documents Feedback
CiteSeer.IST - Copyright Penn State and NEC