Successful applications of digital libraries require structured access to sources of information. This paper presents an approach to extract the logical structure of text document...
We present a multi-dimensional database model, which we believe can serve as a conceptual model for On-Line Analytical Processing (OLAP)-based applications. Apart from providing t...
We present an experimental framework for mapping declarative programs, written in a language known as Ruby, into various combinations of hardware and software. Strategies for para...
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...
Semantic inference is a core component of many natural language applications. In response, several researchers have developed algorithms for automatically learning inference rules...