Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...
Information extraction (IE) aims at extracting specific information from a collection of documents. A lot of previous work on 10 from semi-structured documents (in XML or HTML) us...
Raymond Kosala, Maurice Bruynooghe, Jan Van den Bu...
We discuss the problem of Web data extraction and describe an XML-based methodology whose goal extends far beyond simple "screen scraping." An ideal data extraction proc...
The advent of e-commerce has created a trend that brought thousands of catalogs online. Most of these websites are “taxonomy-directed”. A Web site is said to be ``taxonomydire...