Background: When term ambiguity and variability are very high, dictionary-based Named Entity Recognition (NER) is not an ideal solution even though large-scale terminological reso...
Yutaka Sasaki, Yoshimasa Tsuruoka, John McNaught, ...
Where Information Retrieval (IR) and Text Categorization delivers a set of (ranked) documents according to a query, users of large document collections would rather like to receiv...
The major concern of this paper is the cultural ramification of the bibliographic conception of “authorship.” Beginning with Foucault’s question “what is an author” and ...
On-the-go consumers require dynamic information, particularly "word of mouth," to make better purchase decisions. A popular genre of mobile map services is travel/cuisin...
The meta-learner MLR (Multi-response Linear Regression) has been proposed as a trainable combiner for fusing heterogeneous baselevel classifiers. Although it has interesting prope...