Discovery Scienceに魅せられて

  • Kakeya H
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Abstract

In this paper, we propose a novel method for extracting infor- mation from HTML tables with similar contents but with a different structure. We aim to integrate multiple HTML tables into a single table for retrieval of information containing in various Web pages. The method is designed by extending tree-structured LSTM, the neural network for tree-structured data, in order to extract information that is both linguis- tic and structural information of HTML data. We evaluate the proposed method through experiments using real data published on the WWW.

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Kakeya, H. (2018). Discovery Scienceに魅せられて. KAGAKU TO SEIBUTSU, 56(3), 210–216. https://doi.org/10.1271/kagakutoseibutsu.56.210

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