The goal of our research is to improve event extraction by learning to identify secondary role filler contexts in the absence of event keywords. We propose a multilayered event e...
Recent progress in information extraction technology has enabled a vast array of applications that rely on structured data that is embedded in natural-language text. In particular...
This paper presents a new approach to text processing, based on textemes. These are atomic text units generalising the concepts of character and glyph by merging them in a common ...
We propose a new way of browsing contextualized-news articles. Our prototype browser system is called a Time-based ContextualizedNews Browser (T-CNB). The T-CNB concurrently and a...
In its infancy, the World-Wide Web consisted of a web of largely static hypertext documents. As time progresses it is evolving into a domain which supports almost arbitrary network...