Named Entity Recognition for Novel Types by Transfer Learning Named Entity Recognition for Novel Types by Transfer Learning
Paper summary The authors tackle the problem of domain adaptation for NER, where the label set of the target domain is different from the source domain. They first train a CRF model on the source domain. Next, they train a LR classifier to predict labels in the target domain, based on predicted label scores from the model. Finally, the weights from the classifier are used to initialise another CRF model, which is then fine-tuned on the target domain data. https://i.imgur.com/zwSB7qN.png

Summary by Marek Rei 8 months ago
Loading...
Your comment:


ShortScience.org allows researchers to publish paper summaries that are voted on and ranked!
About

Sponsored by: and