We introduce tiered clustering, a mixture model capable of accounting for varying degrees of shared (context-independent) feature structure, and demonstrate its applicability to i...
This paper presents an attempt at building a large scale distributed composite language model that simultaneously accounts for local word lexical information, mid-range sentence s...
An increasing number of enterprises are beginning to include semantic web ontologies into their Information Extraction (IE) and Text Analytics (TA) applications. This can be chall...
Brian Davis, Siegfried Handschuh, Alexander Trouss...
The availability of semantically tagged corpora is becoming a very important and urgent need for training and evaluation within a large number of applications but also they are th...
Nicoletta Calzolari, Ornella Corazzari, Antonio Za...
This paper addresses the issue of word-sense ambiguity in extraction from machine-readable resources for the construction of large-scale knowledge sources. We describe two experim...