The ability to compare systems from the same domain is of central importance for their
introduction into complex applications. In the domains of named entity recognition and entity …

Abstract The evaluation of Named Entity Recognition as well as Entity Linking systems is
mostly based on manually created gold standards. However, the current gold standards …

Numerous entity linking systems are addressing the entity recognition problem by using off-
the-shelf NER systems. It is, however, a difficult task to select which specific model to use for …

Recognizing names and linking them to structured data is a fundamental task in text
analysis. Existing approaches typically perform these two steps using a pipeline …

This paper describes the GermEval 2014 Named Entity Recognition (NER) Shared Task
workshop at KONVENS. It provides background information on the motivation of this task …

Named entity recognition (NER) and entity linking (EL) are two fundamentally related tasks,
since in order to perform EL, first the mentions to entities have to be detected. However, most …

We present GERBIL, an evaluation framework for semantic entity annotation. The rationale
behind our framework is to provide developers, end users and researchers with easy-to-use …

Named Entity Recognition (NER) is a crucial natural language understanding task for many
down-stream tasks such as question answering and retrieval. Despite significant progress in …

With the rapid development of text mining, many studies observe that text generally contains
a variety of implicit information, and it is important to develop techniques for extracting such …

Unstructured data still makes up an important portion of the Web. One key task towards
transforming this unstructured data into structured data is named entity recognition. We …