New EPSRC-funded project on Embedded Human Computation for Knowledge Extraction and Evaluation (uComp)

Wim Peters, Mark Hepple and Kalina Bontcheva have been awarded a new grant from the EPSRC for their project uComp: Embedded Human Computation for Knowledge Extraction and Evaluation (£375k over 3 years). 

The rapid growth and fragmented character of social media and publicly available structured data challenges established approaches to knowledge extraction. Many algorithms fail when they encounter noisy, multilingual and often contradictory input. Efforts to increase the reliability and scalability of these algorithms face a lack of suitable training data and gold standards.

Given that humans excel at interpreting contradictory and context-dependent language data, the uComp project will address the above mentioned shortcomings by merging collective human intelligence and automated methods, building on the emerging field of Human Computation in the tradition of games with a purpose and crowdsourcing marketplaces.

Click here for more information about the Natural Language Processing (NLP) research group.