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I must say it looks very eat from the point of view of usability. Are the training data sets open? Do you see feasible for small app coders (who don’t have thou
by nudpiedo 7y ago
I must say it looks very eat from the point of view of usability. Are the training data sets open? Do you see feasible for small app coders (who don’t have thousands of examples to train) to use Duckling as more or less NLP parser without getting too much deep into the NLP and AI theory?
Are the trained sets mean to be used by different client code or languages?
- ar7hur 7y agoYes all the training data is in the repo. Duckling is relevant to parse very structured language, typically temporal expressions (dates and times...). It relies on a mix of rules and machine learning. Rules and datasets for many (human) languages are available in the repo. You don't need a lot of data to add support for what you need, owing to this hybrid rules+ML approach (as opposed to just ML).
- patapizza 7y agoHey, author of the Haskell re-write (https://github.com/facebook/duckling https://github.com/facebook/duckling). We've implemented custom dimensions for extensibility (example: https://github.com/facebook/duckling/blob/master/exe/CustomDimensionExample.hs https://github.com/facebook/duckling/blob/master/exe/CustomD...).