Abstract
This paper introduces our method for automatic Schankian-like scripts retrieval from the Internet resources and its preliminary results which might be interesting for Social Sciences researchers. We describe the first module of our system, which is supposed to automatically retrieve commonsensical knowledge from the Web resources by using web-mining techniques. It retrieves minimal “object — action — action” scripts which show humans’ common activities changing due the origin of a webpage author. Such data can be used in fields of economics, psycholinguistics, sociolinguistics, psychology, sociology or in language education. By this paper we would like to make NLP researchers notice the potential of commonsense retrieval and encourage them to consider creating such tools for their languages.
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© 2005 Springer-Verlag Berlin Heidelberg
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Ge, Y., Rzepka, R., Araki, K. (2005). Automatic Scripts Retrieval and Its Possibilities for Social Sciences Support Applications. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_6
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DOI: https://doi.org/10.1007/3-540-32392-9_6
Publisher Name: Springer, Berlin, Heidelberg
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