UCF-WS: Domain Word Sense Disambiguation Using Web Selectors
Year: 2010
Type: article
Abstract: This paper studies the application of the Web Selectors word sense disambiguation system on a specific domain. The system was primarily applied without any domain tuning, but the incorporation of domain predominant sense information was explored. Results indicated that the system performs relatively the same with domain predominant sense information as without, scoring well above a random baseline, but still 5 percentage points below results of using the first sense. 1
Authors: Hansen Andrew Schwartz, Fernando Gómez
Institution: University of Central Florida
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W1776998298