Keyword Disambiguation in Web Pages - Short Paper (original) (raw)

2016

Abstract

One of the most important early developments of the “Web2.0” era was social tagging. However, it soon became evident that tagging as practiced in the early days had significant problems which would limit its scalability. LexiTags was developed to help overcome some of these limitations. One key challenge is to disambiguate the possible word meanings such that the top option would almost always correspond to the one intended by the user in the given context. The work briefly reported here is an attempt to do just that. We conducted an experiment to measure the relative effectiveness of the algorithms for disambiguation in the sense selection task. Although correct disambiguation proved difficult, we have some indication that a specialized algorithm which can makeuse of the unique elements of context available in the Web Browser based context, might outperform standard disambiguation algorithms.

Csaba Veres hasn't uploaded this paper.

Let Csaba know you want this paper to be uploaded.

Ask for this paper to be uploaded.