In this paper, we propose a statistical approach for clustering of artMes using on-line dictionary definitions. One of the characteristics of our approach is that every sense of w...
This paper presents an algorithm for unsupervised noun sense induction, based on clustering of Web search results. The algorithm does not utilize labeled training instances or any...
Goldee Udani, Shachi Dave, Anthony Davis, Tim Sibl...
In this paper we will focus on the lexical-semantic relations in the German wordnet GermaNet. It has been shown that wordnets suffer from the relatively small number of relations ...
In TREC 2004, the Database and Information System Lab (DBIS) at University of Illinois at Chicago (UIC) participates in the robust track, which is a traditional ad hoc retrieval t...
To solve the knowledge bottleneck problem, active learning has been widely used for its ability to automatically select the most informative unlabeled examples for human annotation...
Jingbo Zhu, Huizhen Wang, Benjamin K. Tsou, Matthe...