Due to the exponential growth of textual data and web sources, an automatic mechanism is
required to identify relevant information embedded within them. The utility of Automatic …

The Handbook of Natural Language Processing, Second Edition presents practical tools
and techniques for implementing natural language processing in computer systems. Along …

Technical terms (henceforth called terms), are important elements for digital libraries. In this
paper we present a domain-independent method for the automatic extraction of multi-word …

In this paper we present Text2Onto, a framework for ontology learning from textual
resources. Three main features distinguish Text2Onto from our earlier framework …

The biomedical literature can be seen as a large integrated, but unstructured data
repository. Extracting facts from literature and making them accessible is approached from …

Given the large amounts of online textual documents available these days, eg, news articles,
weblogs, and scientific papers, effective methods for extracting keyphrases, which provide a …

In this paper we present a domain-independent method for the automatic extraction of multi-
word (technical) terms, from machine-readable special language corpora. The method,(C …

Feeding 9 billion people by 2050 on one hand, and preserving biodiversity on the other
hand, are two shared policy goals at the global level. Yet while these goals are clear, they …

Research on extracting biomedical relations has received growing attention recently, with
numerous biological and clinical applications including those in pharmacogenomics, clinical …

Many software development tasks require developers to quickly learn a subset of an
Application Programming Interface (API). API learning resources are crucial for hel** …