—Lack of supervision in clustering algorithms often leads to clusters that are not useful or interesting to human reviewers. We investigate if supervision can be automatically tr...
In designing and developing large complex products, people use models to describe and organize interrelated elements in both product systems (architecture, use cases, constraints....
Xiao Jing, Pierre Pinel, Lei Pi, Vincent Aranega, ...
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
This paper proposes after-action review (AAR) with Human-Virtual human (H-VH) experiences. H-VH experiences are seeing increased use in training for real-world, H-H experiences. T...
This paper presents a parse-and-paraphrase paradigm to assess the degrees of sentiment for product reviews. Sentiment identification has been well studied; however, most previous ...