Autism spectrum disorder (ASD) research has yet to leverage “big data” on the same scale
as other fields; however, advancements in easy, affordable data collection and analysis may …

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 …

Keyphrase extraction is a fundamental technique in natural language processing. It enables
documents to be mapped to a concise set of phrases that can be used for indexing …

In this paper we present a semi-automatic ontology editor as implemented in a new version
of OntoGen system. The system integrates machine learning and text mining algorithms into …

Lemmatisation is the process of finding the normalised forms of words appearing in text. It is
a useful preprocessing step for a number of language engineering and text mining tasks …

Open ontology learning is the process of extracting a domain ontology from a knowledge
source in an unsupervised way. Due to its unsupervised nature, it requires filtering …

abstract To support biomedical experts in their knowledge discovery process, we have
developed a literature mining method called RaJoLink for identification of relations between …

Keyphrases are useful for a variety of tasks in information retrieval systems and natural
language processing, such as text summarization, automatic indexing, clustering …

The paper presents an approach to the task of automatic document categorization in the
field of economics. Since the documents can be annotated with multiple keywords (labels) …

The task of building an ontology from a textual corpus starts with the conceptualization
phase, which extracts ontology concepts. These concepts are linked by semantic …