Is hosted by the Chair of Business Information Systems. As well as the Institute for Applied Informatics. Development of methods, tools and applications for adaptive Knowledge Engineering in the context of the Semantic Web. AKSW is committed to the free software.

Of the 3rd version of the BioASQ.

Athens University of Economics and Business. AUEB Natural Language Processing Group. Question answering systems for databases, ontologies, document collections, and the Web, especially biomedical question answering,. Of the Athens University of Economics and Business.

Task 3a begins on Monday, February 02, 2015! Task 3b begins on Wednesday, March 11, 2015! The training sets for Task 3a and 3b are available here. Access guidelines for each challenge task. Download data for each Task. Participate to the forum for discussion about the challenge.

VISCERAL is an abbreviation for Visual Concept Extraction Challenge in Radiology. VISCERAL is organising a series of benchmarks. On the processing of large-scale 3D radiology images. VISCERAL is making use of an innovative cloud-based evaluation approach. Even though the VISCERAL project is officially complete, the tasks and data can still be used through the continuously running Benchmarks. This project is supported by the European Commission. Under the Information and Communication Technologies.

London, NW1 2FD, UK. Elcome to my personal homepage! I am currently a research associate at the Machine Reading. Group at University College London. On developing a domain-independent Natural Language Generation framework by imitating generation policies from unaligned corpora. This will be applied to a variety of domains, as well as weather reports and data obtained from the Met Office.