A Study of Sense-Disambiguated Networks Induced from Folksonomies
Hans-Péter Zorn, Iryna Gurevych · Institutional Repositories DataBase (IRDB) · 2011
Lexical-semantic resources are fundamental building blocks in natural language processing (NLP).Frequently, they fail to cover the informal vocabulary of web users as represented in user-generated content.This paper aims at exploring folksonomies as a novel source of lexical-semantic information.It analyzes two prototypical examples of folksonomies, namely BibSonomy and Delicious, and utilizes NLP and word sense induction techniques to turn the folksonomies into word sense-disambiguated networks representing the vocabulary and the word senses found in folksonomies.The main contribution of the paper is an in-depth analysis of the resulting resources, which can be combined with conventional wordnets to achieve broad coverage of user-generated content.