: The evaluation of information retrieval systems involves the creation of potential user needs for which systems try to find relevant documents. The difficulty of these topics dif...
To contribute to systems that reason about human attention, our work empirically demonstrates how a user's mental workload changes during task execution. We conducted a study...
Shamsi T. Iqbal, Piotr D. Adamczyk, Xianjun Sam Zh...
In an expert search task, the users' need is to identify people who have relevant expertise to a topic of interest. An expert search system predicts and ranks the expertise o...
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
We describe a set of experiments using machine learning techniques for the task of extractive summarisation. The research is part of a summarisation project for which we use a cor...