Abstract
A variety of know-how such as recipes and solutions for troubles have been stored on the Web. However, it is not so easy to appropriately find certain know-how information. If know-how could be appropriately detected, it would be much easier for us to know how to tackle unforeseen situations such as accidents and disasters. This paper proposes a promising method for acquiring know-how information from the Web. First, we extract passages containing at least one target object and then extract candidates for know-how from them. Then, passages containing the know-how are discriminated from non-know-how information considering each object and its typical usage.
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Kozawa, S., Uchimoto, K., Matsubara, S. (2011). Acquisition of Know-How Information from Web. In: Salem, M.V.M., Shaalan, K., Oroumchian, F., Shakery, A., Khelalfa, H. (eds) Information Retrieval Technology. AIRS 2011. Lecture Notes in Computer Science, vol 7097. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-25631-8_40
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DOI: https://doi.org/10.1007/978-3-642-25631-8_40
Publisher Name: Springer, Berlin, Heidelberg
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