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I work with data as a neuroscientist, but I haven't used ML. What is an an annotation in this context?
by SubiculumCode 9y ago
I work with data as a neuroscientist, but I haven't used ML. What is an an annotation in this context?
- stephengillie 9y agoI have an NLP bot as a hobby, but use old-fashioned statistics instead of ML. It looks like annotations here mean manually training the bot by seeding the learning data with hints.
- SubiculumCode 9y agoA utility for labeling training data for supervised learning then?
- IanCal 9y agoYes, with a bit of a twist. As I understand it, it'll keep retraining the model and asking you to label the examples it's least sure about. This is a lot faster and better than randomly labelling your data or trying to do it all.
- syllogism 9y agoAdding mark-up, basically. Examples for text data: topic tags, marking mentions of companies, finding descriptions of protein interactions. For images people mostly do segmentation (finding object boundaries) and classification. If the model is generating images or text, you usually need to do annotation to evaluate the model. For instance, you need to know whether the translations are grammatical, whether an image is coloured correctly, etc.