Abstract
In order to develop computer systems which can process the content of natural language texts it is necessary to capture the meaning of words in a way which is robust and domain independent. In this article we discuss a particular kind of word representation based on sets of weighted semantic features. We describe how a lexicon of such patterns can be created automatically from a hierarchical concept ontology and evaluated using a psychometric method. Finally we summarise our findings in this research, giving the strengths and weaknesses of the advocated approach.
Original language | English |
---|---|
Pages (from-to) | 33-42 |
Number of pages | 10 |
Journal | Journal of Quantitative Linguistics |
Volume | 2 |
Issue number | 1 |
DOIs | |
Publication status | Published - 1 Jan 1995 |