Abstract. The ability to recognize human activities from sensory information is essential for developing the next generation of smart devices. Many human activity recognition tasks...
Niels Landwehr, Bernd Gutmann, Ingo Thon, Luc De R...
Collaborative tagging used in online social content systems is naturally characterized by many synonyms, causing low precision retrieval. We propose a mechanism based on user pref...
Maarten Clements, Arjen P. de Vries, Marcel J. T. ...
The Web contains vast amounts of linguistic data. One key issue for linguists and language technologists is how to access it. Commercial search engines give highly compromised acc...
Automatic part of speech tagging is an area of natural language processing where statistical techniques have been more successful than rule-based methods. In this paper, we presen...
We propose a new model for unsupervised POS tagging based on linguistic distinctions between open and closed-class items. Exploiting notions from current linguistic theory, the sy...