Regular expressions have served as the dominant workhorse of practical information extraction for several years. However, there has been little work on reducing the manual effort ...
Named-entity recognition systems extract entities such as people, organizations, and locations from unstructured text. Rather than extract these mentions in isolation, this paper ...
"Word" is difficult to define in the languages that do not exhibit explicit word boundary, such as Thai. Traditional methods on defining words for this kind of languages...
We report about a project which brings together Natural Language Processing and eLearning. One of the functionalities developed within this project is the possibility to annotate ...
Here, we present a constrained object recognition task that has been robustly solved largely with simple machine learning methods, using a small corpus of about 100 images taken u...