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...
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 ...
The aim of this work is to survey and reflect on the various ways to integrate visualization and data mining techniques toward a mixed-initiative knowledge discovery taking the be...
We propose a system which extracts faces and person names from news articles with photos on the Web and associates them automatically. The system detects face images in news photo...
Recently, discriminative training (DT) methods have achieved tremendous progress in automatic speech recognition (ASR). In this survey article, all mainstream DT methods in speech...