Abstract
The development of tools for Information Retrieval Systems or Expertise Finding Systems has a common task: the understanding of the information need. Since the information need is usually expressed through natural language, the computational processing of the information need involves several NLP techniques. Fortunately, there is a vast set of tools for English, but others languages have been marginalized. Thus, in this paper, we present a Web Service that offers to clients NLP treatment for interrogative sentences written in Brazilian Portuguese. The Web Service receives the question as input e returns its meta-information. The main differential of our proposal is that we offer a full analysis of the question text using a single function. We evaluate a feature of the Web Service named Category labeler, responsible for automatic discover the subject of the question, and we found that it has a true positive rate higher than 50% (\(\alpha \)=10%).
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Souza, C. et al. (2015). A Meta-Information Extractor for Interrogative Sentences. In: Gervasi, O., et al. Computational Science and Its Applications -- ICCSA 2015. ICCSA 2015. Lecture Notes in Computer Science(), vol 9155. Springer, Cham. https://doi.org/10.1007/978-3-319-21404-7_25
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DOI: https://doi.org/10.1007/978-3-319-21404-7_25
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