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Hi, I'm part of the R&D team at Unbounce, a SAS company that provides web page hosting for marketers. We've been working on a system to identify semantic components of a webpage such as the headline. The model itself is pretty straightforward, but we though the process of how we collected a labeled set and cleaned the data in an industry setting might be interesting to share.
As part of this, we also built an optimized Tree-LSTM implementation in PyTorch that we've open-sourced: https://github.com/unbounce/pytorch-tree-lstm
Our blog post on the project: https://medium.com/unbounce-engineering/using-machine-learning-to-analyze-landing-pages-b3a5c4c96500
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