# HTML-LSTM: Information Extraction from HTML Tables in Web Pages using Tree-Structured LSTM

arXiv: https://arxiv.org/abs/2409.19445 · HTML: https://mlsanity.com/paper/2409.19445/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 0 of its 12 references that are in the map.
- First posted on arXiv 28 Sep 2024.

## Abstract (arXiv)

In this paper, we propose a novel method for extracting information 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 linguistic and structural information of HTML data. We evaluate the proposed method through experiments using real data published on the WWW.
