This paper describes an approach to learning concept definitions which operates on fully
parsed text. A subcorpus of the Dutch version of Wikipedia was searched for sentences …

The proliferation of Web, database and social networking technologies has enabled us to
produce, publish and exchange digital assets at an enormous rate. This vast amount of …

Question Answering (QA) systems provide accurate answers to questions; however, they
lack the ability to consolidate data from multiple sources, making it difficult to manage …

A first step in establishing a Web community's knowledge domain is to collect a glossary of
domain-relevant terms that constitute the linguistic surface manifestation of domain …

This paper addresses the task of automatic extraction of definitions by thoroughly exploring
an approach that solely relies on machine learning techniques, and by focusing on the issue …

File format obsolescence is a major risk factor threatening the ongoing usefulness of digital
information collections. While the preservation community has become increasingly …

One of the aims of the Language Technology for eLearning project is to show that Natural
Language Processing techniques can be employed to enhance the learning process. To this …

Millions of people access the plentiful web content to locate information that is of interest to
them. Searching is the primary web access method for many users. During search, the users …

We describe a web application, GlossExtractor, that receives in input the output of a
terminology extraction web application, TermExtractor, or a user-provided terminology, and …

A lightweight extraction method derives text snippets associated to dates from the Web. The
snippets are organized dynamically into answers to definition questions. Experiments on …