We tackle the problem of automatically detecting controversial issues and their subtopics from news articles. We define a controversial issue as a concept that invokes conflicting ...
In this paper, we present a statistical model for detecting article errors, which Japanese learners of English often make in English writing. The model detects article errors base...
Most existing algorithms for clinical risk stratification rely on labeled training data. Collecting this data is challenging for clinical conditions where only a small percentage ...
Network and service providers are rapidly deploying IPTV networks to deliver a wide variety of video content to subscribers. Some video content may be protected by copyright and/or...
Yali Liu, Canhui Ou, Zhi Li, Cherita L. Corbett, C...
The paper introduces a novel iterative method that assigns a reputation to n + m items: n raters and m objects. Each rater evaluates a subset of objects leading to a n × m rating...