In recent years, corpus based approaches to machine translation have become predominant, with Statistical Machine Translation (SMT) being the most actively progressing area. Success of these approaches depends on the availability of parallel corpora. In this paper we propose Active Crowd Translation (ACT), a new paradigm where active learning and crowd-sourcing come together to enable automatic...

Intelligent tutoring systems adapt to users’ cognitive factors, but typically not to affective or conative factors. Crowd-sourcing may be a way to create materials that engage a wide range of users along these differences. We build on our earlier work in crowd-sourcing worked example solutions and offer a data mining method for automatically rating the crowd-sourced examples to determine which ...

In this paper, we present a comparison between controlled laboratory experiments and crowd-sourcing techniques for gathering consumer terms. We discuss the difference between the data gathered from these techniques and how crowd-sourcing can be used to increase engagement and seek feedback from your customers via the internet or other digital methods. As a case study, we present a new set of un...

Emergency agencies (EA) rely on inter-agency approaches to information management during disasters. EA have shown a significant interest in the use of cloud-based social media such as Twitter and Facebook for crowd-sourcing and distribution of disaster information. While the intentions are clear, the question of what are its major challenges are not. EA have a need to recognise the challenges i...

This paper presents an evaluation of a mobile complaint and problem-reporting solution made for Swedish municipalities and their citizens. The evaluation is made through a government 2.0 framework to assess the appropriateness of the initiative as a citizen-sourcing solution. The research approach consists of a secondary analysis of empirical data. The researchers have been active participants ...

In modern advanced emergency management systems many solutions for decision support have been provided as attempts to support humans to take important decisions for the critical situations recovery. The critical situation detection is a complex procedure that involves both human and machine activities and leads to take a decision for the management and situation recovery. This paper presents an...

We present an iterative annotation process for producing aligned, parallel corpora of abstractive and extractive summaries for narrative. Our approach uses a combination of trained annotators and crowd-sourcing, allowing us to elicit human-generated summaries and alignments quickly and at low cost. We use crowd-sourcing to annotate aligned phrases with the text-to-text generation techniques nee...

The paper describes algorithms required to enable the crowd sourcing of indoor building maps, i.e., where GPS is not available. Nevertheless to enable crowd sourcing we use the 3-axis accelerometers and the 3-axis magnetometers available in many smart phones and the piezometer in a Nike running shoe. Volunteers carry the sensors while walking around in buildings, and use some application on the...