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.
CITATION STYLE
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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