In this paper, we show how a domain dependent know-how textual database of advices and warnings can be constructed from procedural texts. We show how arguments of type warnings an...
We have developed a novel, publicly available annotation tool for the semantic encoding of texts, especially those in the narrative domain. Users can create formal propositions to...
In this paper, we propose an automatic text classification method based on word sense disambiguation. We use “hood” algorithm to remove the word ambiguity so that each word is ...
Ying Liu, Peter Scheuermann, Xingsen Li, Xingquan ...
Synonymy – different words with the same meaning – is a major problem for text mining systems. We have proposed asymmetric word similarities as a possible solution to this prob...
The Object Management Group (OMG) is pursuing its new Model-Driven Architecture (MDA) strategy. The Meta-Object Facility (MOF) is an important technology to support the MDA, both ...