The large amount of available information on the Web makes it hard for users to locate resources about particular topics of interest. Traditional search tools, e.g., search engines...
In this paper we propose PARTfs which adopts a supervised machine learning algorithm, namely partial decision trees, as a method for feature subset selection. In particular, it is...
Noun phrases of a document usually are the main information bearers. Thus, the detection of these units is crucial in many applications related to information retrieval, such as co...
This paper describes a new research proposal of multi-document summarization of dynamic content in web pages. Much information is lost in the Web due to the temporal character of w...
We present here a method for automatically projecting structural information across translations, including canonical citation structure (such as chapters and sections), speaker i...