ACL 2020 highlights – Canwen
The original Twitter threadhere.The selecting criterion here is beinginteresting. Not an exhaustive list.Let Me Choose: From Verbal Context to Font Selectionaclweb.org2020.acl-main.762.pdf687.19 KBBridging text with its font! Very interesting application paper from Adobe. They even have emojis play a role in it! Even fonts have their semantics and sentiments.Contextualized Weak Supervision for Text Classificationaclweb.org2020.acl-main.30.pdf1819.53 KBThis paper cleverly introduces word disambiguation into weakly supervised text classification and the method for data augmentation is also great!Human Attention Maps for Text Classification: Do Humans and Neural Networks Focus on the Same Words?aclweb.org2020.acl-main.419.pdf813.57 KBThis paper answered the interesting question that if machines read text just like us humans? Though the conclusion may not be surprising, it opens a new path to understand attention.Pre-train and Plug-in: Flexible Conditional Text Generation with Variational Auto-Encodersaclweb.org2020.acl-main.23.pdf912.50 KBSorry for self-promoting but this paper is actually very interesting. The flexible framework can be extended to many more fields including text style transfer, image generation, voice conversion, etc.
2020-07-10T17:01:08Z
I like the human attention maps one. It’s interesting that humans have much more peaked distributions, focusing in a few key words where as the ML system attends to a larger sweet of words with varying weights.