Ask HN: Is anyone using Amazon Mechanical Turk in 2023?
4 pointsby vivegi0 comments
- Xu Zhong, Jianbin Tang, Antonio Jimeno Yepes. "PubLayNet: largest dataset ever for document layout analysis," Aug 2019. Preprint: https://arxiv.org/abs/1908.07836 Code/Data: https://github.com/ibm-aur-nlp/PubLayNet
- B. Pfitzmann, C. Auer, M. Dolfi, A. S. Nassar and P. Staar, "DocLayNet: a large human-annotated dataset for document-layout analysis," 13 August 2022. [Online]. Available: https://developer.ibm.com/exchanges/data/all/doclaynet/.
- S. Appalaraju, B. Jasani, B. U. Kota, Y. Xie and R. Manmatha, "Docformer: End-to-end transformer for document understanding.," in The International Conference on Computer Vision (ICCV 2021), 2021.
The first one is for publications. From the abstract: "...the PubLayNet dataset for document layout analysis by automatically matching the XML representations and the content of over 1 million PDF articles that are publicly available on PubMed Central. The size of the dataset is comparable to established computer vision datasets, containing over 360 thousand document images, where typical document layout elements are annotated". Linux
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NetBSD <a name="myanchor"><h3>Things to do</h3></a>
If the CMS supports name anchors, you can just bookmark it as https://example.com/foo.html#myanchor
Of course, authors are not mandated to follow named anchors for their document fragments, so this is just a best practice.
https://www.amazon.com/Platform-Scale-emerging-business-inve...
This book has various examples of the double-sided marketplace and how they solved the exact _chicken and egg problems_ you are talking about.