Natural Language Processing (NLP) is widely used to support the automation of different
Requirements Engineering (RE) tasks. Most of the proposed approaches start with various …

Text mining is a new and exciting area of computer science research that tries to solve the
crisis of information overload by combining techniques from data mining, machine learning …

C-rater is an automated scoringengine that has been developed to scoreresponses to
content-based short answerquestions. It is not simply a stringmatching program–instead it …

In the last decade, ontologies have received much attention within computer science and
related disciplines, most often as the semantic web. Ontology Learning and Population from …

As interactive voice response systems become more prevalent and provide increasingly
more complex functionality, it becomes clear that the challenges facing such systems are not …

Determining the polarity of a sentimentbearing expression requires more than a simple bag-
of-words approach. In particular, words or constituents within the expression can interact …

Source model extraction, the automated extraction of information from system artifacts, is a
common phase in reverse engineering tools. One of the major challenges of this phase is …

Dependency grammar and dependency parsing Page 1 Dependency grammar and
dependency parsing Syntactic analysis (5LN455) 2012-12-11 Joakim Nivre Department of …

We propose a new fast purely discriminative algorithm for natural language parsing, based
on a “deep” recurrent convolutional graph transformer network (GTN). Assuming a …

This article shows that the Web can be employed to obtain frequencies for bigrams that are
unseen in a given corpus. We describe a method for retrieving counts for adjective-noun …