Showing papers by "Sandra Maria Aluísio published in 2005"
01 Jan 2005
TL;DR: This paper looks into the use of 46 linguistic features to classify texts according to genres and text types, and employs the same features to train a classifier that decides which possible user need(s) a Web page may satisfy.
Abstract: In this paper we investigate the hypothesis that classification of Web pages according to the general user intentions is feasible and useful. As a preliminary study we look into the use of 46 linguistic features to classify texts according to genres and text types; we then employ the same features to train a classifier that decides which possible user need(s) a Web page may satisfy. We also report on experiments for customizing searching systems with the same set of features to train a classifier that helps users discriminate among their specific needs. Finally, we describe some user input that makes us confident on the utility of the approach.
6 citations
01 Jan 2005
TL;DR: A corpus of webpages, named “Yes, user!”, which was classified in order to satisfy different types of users' needs and the process used to build this corpus is described.
Abstract: This paper describes a corpus of webpages, named “Yes, user!”. These pages were classified in order to satisfy different types of users' needs. We introduce the assumptions on which the corpus is based, show its classification scheme in detail, and describe the process used to build this corpus. We also present the results of a questionnaire inquiring about the general clarity and understanding of our classification and those proposed by other researchers. We describe both the corpus and a metasearch prototype which was built with those classifiers and make it accessible for other researchers to use.
6 citations
Proceedings Article•
06 May 2005TL;DR: A rubric is proposed to analyze abstracts of scientific papers based on experiments carried out with a writing tool to assist non-native English speakers in producing abstracts in the field of Pharmaceutical Sciences, referred to as SciPo-Farmacia to help domain experts improve both the contents and the language of the text.
Abstract: We propose a rubric to analyze abstracts of scientific papers. It is based on experiments carried out with a writing tool to assist non-native English speakers in producing abstracts in the field of Pharmaceutical Sciences, referred to as SciPo-Farmacia. The rubric has a 3-fold purpose: (1) as a facility to be plugged into SciPo-Farmacia to score students texts, (2) to help domain experts improve both the contents and the language of the text; and (3) to evaluate published articles in order to extend the text database of SciPo-Farmacia.
4 citations