This paper introduces MERCKX, a Multilingual Entity/Resource Combiner & Knowledge
eXtractor. A case study involving the semantic enrichment of a multilingual archive is …

Based on a comprehensive study of 20 established data sets, we recommend training set
sizes for any classification data set. We obtain our recommendations by systematically …

Abstract The relevance of Named-Entity Recognition and Entity Linking for cultural heritage
institutions is evaluated through a case-study involving the semantic enrichment of historical …

As a consequence of a recent curation project, the Dortmund Chat Corpus is available in
CLARIN-D research infrastructures for download and querying. In a legal expertise it had …

In ihrem Gutachten beurteilten die beiden Gutachter das Korpus unter
datenschutzrechtlicher, persönlichkeitsrechtlicher, urheber-und leistungsschutzrechtlicher …

Extracting valuable knowledge from Electronic Health Records (EHR) represents a
challenging task due to the presence of both structured and unstructured data, including …

Abstract Machine Learning is concerned with the problem of learning a model to perform a
task. Supervised machine learning is a successful approach to many natural language …

We present a system to extract statements of public figures from unstructured German news
articles. We first motivate and define statements as a temporally-aware extension of …

Information extraction is a special class of Natural Language Processing techniques. It
comprises extraction of entities and events from unstructured data, whereas semantic …

In this Master's thesis we perform several linguistic experiments in the field of text genre
classification and register analysis. We combine various state-of-the-art statistical machine …