In this paper, we present a web-based architecture of a spatiotemporal video data management system, which can accommodate a wide range of activities by various types of users. Be...
An annotated data set is presented meant to help researchers in developing, evaluating and comparing various approaches in robotics for building space representations appropriate f...
Automatically translating natural language into machine-readable instructions is one of major interesting and challenging tasks in Natural Language (NL) Processing. This problem c...
Traditionally, machine learning approaches for information extraction require human annotated data that can be costly and time-consuming to produce. However, in many cases, there ...
Active learning has been applied to different NLP tasks, with the aim of limiting the amount of time and cost for human annotation. Most studies on active learning have only simul...