Utilizing conversation policies, also called as interaction protocols, is one of the various efforts that have been devoted to the improvement of agent interoperability. The research on conversation policies so far has focused on developing conversation policy models and standard conversation policies. However, in a dynamic agent society where new agents can be introduced and transaction sequen...

We propose a topic-based inter-video news video corpus structuring method and a visual interface to efficiently browse through the structured corpus. Such inter-video structuring was not deeply sought in previous works. The topic-based structure is analyzed by closed-caption text analysis; topic segmentation and tracking. The visual interface provides the ability to 1)search and select a topic ...

The question captured in the title of this paper was asked by an audience member in a panel session at the 2014 Learning Analytics Summer Institute, hosted by the Society for Learning Analytics Research. More accurately, the question was: “What does a data scientist working in a learning context need to know?” One respondent quipped in response: “learn Python and learn R!”. Subsequent debate ab...

Purpose – This paper seeks to understand how users determine credibility in the internet environment from a conceptual level and the implications of these new methods of credibility determination on internet tools (primarily software) and services. Design/methodology/approach – The author first examines the underlying reasons for increased dependence on the internet for information, using elect...

Nectar enables users of the MoinMoin collaborative wiki editing environment to conveniently create and view in-text annotations to wiki documents without disturbing the underlying document. It is designed to facilitate online collaboration for traditional classroom learning by allowing authors to lock documents for editing, but still solicit comments online. Nectar has an obvious and easy to le...

This work concerns automatic topic segmentation of email conversations. We present a corpus of email threads manually annotated with topics, and evaluate annotator reliability. To our knowledge, this is the first such email corpus. We show how the existing topic segmentation models (i.e., Lexical Chain Segmenter (LCSeg) and Latent Dirichlet Allocation (LDA)) which are solely based on lexical in...