Crowdsourcing enables one to leverage on the intelligence and wisdom of potentially large
groups of individuals toward solving problems. Common problems approached with …

Many organizations are now starting to introduce crowdsourcing as a new model of
business to outsource tasks, which are traditionally performed by a small group of people, to …

We tackle the problem of entity linking for large collections of online pages; Our system,
ZenCrowd, identifies entities from natural language text using state of the art techniques and …

Suppose that you want to delegate the ability to process your data, without giving away
access to it. We show that this separation is possible: we describe a" fully homomorphic" …

Crowdsourcing has become a popular paradigm in data curation, annotation and evaluation
for many artificial intelligence and information retrieval applications. Considerable efforts …

Some complex problems, such as image tagging and natural language processing, are very
challenging for computers, where even state-of-the-art technology is yet able to provide …

In information retrieval, query auto completion (QAC), also known as typeahead [**ao et al.,
2013, Cai et al., 2014b] and auto-complete suggestion [Jain and Mishne, 2010], refers to the …

Crowdsourcing allows to build hybrid online platforms that combine scalable information
systems with the power of human intelligence to complete tasks that are difficult to tackle for …

Online evaluation is one of the most common approaches to measure the effectiveness of an
information retrieval system. It involves fielding the information retrieval system to real users …

Crowdsourcing platforms offer unprecedented opportunities for creating evaluation
benchmarks, but suffer from varied output quality from crowd workers who possess different …