The problem of transfer learning, where information gained in one learning task is used to improve performance in another related task, is an important new area of research. While...
We develop a formal framework for comparing different versions of ontologies, and apply it to ontologies formulated in terms of DL-Lite, a family of `lightweight' description...
Roman Kontchakov, Frank Wolter, Michael Zakharyasc...
This paper presents a hybrid approach to question answering in the clinical domain that combines techniques from summarization and information retrieval. We tackle a frequently-oc...
Information Extraction (IE) has existed as a field for several decades and has produced some impressive systems in the recent past. Despite its success, widespread usage and comm...
This paper studies the problem of modeling complex domains of actions and change within highlevel action description languages. We investigate two main issues of concern: (a) can ...