This paper centers on the discussion of k-medoid-style clustering algorithms for supervised summary generation. This task requires clustering techniques that identify class-unifor...
1 While much recent progress has been made in research on fact-based question answering, our work aims to extend question-answering research in a different direction ─ to handle ...
Abstract—Automatic summarization evaluation is very important to the development of summarization systems. In text summarization, ROUGE has been shown to correlate well with huma...
The proliferation of linked data on the Web paves the way to a new generation of applications that exploit heterogeneous data from different sources. However, because this Web of d...
The MoDELS Doctoral Symposium brought together nine doctoral students and five mentors to spend a day discussing student research presentations. A truly international representatio...