Discovery Scienceに魅せられて

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.