Seed words are a common form of seeding that has been used for lexicon induction, pattern learning, and word sense disambiguation
This paper will conclude with a brief examination of some of the issues of relying on meta- and linked data for Word Sense Disambiguation
Using Relevant Domains Resource for Word Sense Disambiguation
. In Proceedings of the ICAI, (2004)27.
ReAD does not perform word sense disambiguation
and implements exhaustive access; that is, all senses of polysemous words are equally activated [19,20].
Word sense disambiguation
is the ability to identify the words' sense in a computational manner .
Among the topics are word sense disambiguation
, domain adaptation in part-of-speech tagging, a computational cognitive model of human translation processes, interactive question answering, mining user-generated content for social research and other applications, and spreadsheeting using modified visual feature vectors.
The word sense disambiguation
problem is about finding the most probable meaning of a polysemous word.
These help guide the word sense disambiguation
process (Kolte & Bhirud, 2008; Bentivogli, Forner, Magnini, & Pianta, 2004).
"The trouble with word sense disambiguation
is word senses", reads the opening line of an article written by Kilgarriff (2006: 29).
Word Sense Disambiguation
. Algorithms and Applications.
Technologies used for machine translation, such as syntactic parsing and word sense disambiguation
, are commonly used in other applications of natural language processing.