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About Learning Web Content Extraction With DOM Features: September 2018
This document summarizes a research paper that presents a new method for learning web content extraction using DOM (Document Object Model) features. The method models content extraction as a classification problem over HTML tags, using features based on information from the DOM tree. It achieves competitive performance on two datasets, with an F1 score of 0.87 on Cleaneval and setting a new state-of-the-art with an F1 score of 0.96 on Dragnet, outperforming previous methods. The method uses minimal feature engineering and preprocessing steps compared to other approaches.
Detailed Information
| Author: | ['Weerasak Thachai'] |
|---|---|
| Publication Year: | 2020 |
| Pages: | 8 |
| Language: | English |
| Format: | |
| Price: | FREE |
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