First NewsReader publication: GAF: Grounded Annotation Framework

At NewsReader we’ve been working hard since the kick-off to set up the infrastructure for the project. One of the most important things that we needed to get done as soon as possible was to agree on an annotation format, so we can get going on building an evaluation data set.

The result of close […]

CfP: Detection, Representation and Exploitation of Events on the Semantic Web (DeRiVE 2013)

Events are at the heart of many of our daily information sources, being microposts, newswire, calendar information or sensor data. For detecting, representing and exploiting events in these sources, different research communities are each trying to resolve a small part of this puzzle. The goal of this workshop is to bring together those different areas […]

Piek Vossen to present NewsReader @ CCCT Seminar

On Friday May 24, 2013 Piek Vossen will give a talk titled “Do big data hide or reveal stories? Processing large streams of news in the NewsReader project” at the Center for Creation, Content and Technology (CCCT), University of Amsterdam.

The full programme can be found here, and this is the abstract of his talk:


Marieke van Erp to present NewsReader at Soeterbeeck eHumanities workshop

On Friday June 14, Marieke van Erp will give a talk titled “From events to stories: different ways of structuring the same bag of events over time” at the Soeterbeeck eHumanities Workshop.

The full programme can be found here, and this is the abstract of her talk:

From events to stories: different ways of structuring […]

CfP: Semantic Web and Information Extraction Workshop (SWAIE 2013)

There is a vast wealth of information available in textual format that the Semantic Web cannot yet tap into: 80% of data on the Web and on internal corporate intranets is unstructured, hence analysing and structuring the data – social analytics and next generation analytics – is a large and growing endeavour. The goal […]

NERD-ML 2nd in MSM2013 Concept Extraction Challenge

Together with Giuseppe Rizzo and Raphaël Troncy from EURECOM, NewsReader team member Marieke van Erp participated in the MSM2013 Concept Extraction Challenge with a system called NERD-ML. This system was developed to identify and classify named entities in microposts (Tweets). Their system ranked 2nd in the challenge, only 0.01 points in F-score behind the best […]