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Summary: Setup the correct email. Reviewed By: JonCoens Differential Revision: D4806876 fbshipit-source-id: a52f9f8
85 lines
3.4 KiB
Markdown
85 lines
3.4 KiB
Markdown
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# Duckling
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Duckling is a Haskell library that parses text into structured data.
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```
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"the first Tuesday of October"
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=> {"value":"2017-10-03T00:00:00.000-07:00","grain":"day"}
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```
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## Requirements
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A Haskell environment is required. We recommend using
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[stack](https://haskell-lang.org/get-started).
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## Quickstart
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To compile and run the binary:
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```
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$ stack build
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$ stack exec duckling-example-exe
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```
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The first time you run it, it will download all required packages.
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See `exe/ExampleMain.hs` for an example on how to integrate Duckling in your
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project.
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## Supported dimensions
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Duckling supports many languages, but most don't support all dimensions yet
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(we need your help!).
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| Dimension | Example input | Example value output
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| --------- | ------------- | --------------------
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| `Distance` | "6 miles" | `{"value":6,"type":"value","unit":"mile"}`
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| `Duration` | "3 mins" | `{"value":3,"minute":3,"unit":"minute","normalized":{"value":180,"unit":"second"}}`
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| `Email` | "duckling-team@fb.com" | `{"value":"duckling-team@fb.com"}`
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| `AmountOfMoney` | "42€" | `{"value":42,"type":"value","unit":"EUR"}`
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| `Numeral` | "eighty eight" | `{"value":88,"type":"value"}`
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| `Ordinal` | "33rd" | `{"value":33,"type":"value"}`
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| `PhoneNumber` | "+1 (650) 123-4567" | `{"value":"(+1) 6501234567"}`
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| `Quantity` | "3 cups of sugar" | `{"value":3,"type":"value","product":"sugar","unit":"cup"}`
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| `Temperature` | "80F" | `{"value":80,"type":"value","unit":"fahrenheit"}`
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| `Time` | "today at 9am" | `{"values":[{"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}],"value":"2016-12-14T09:00:00.000-08:00","grain":"hour","type":"value"}`
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| `Url` | "https://api.wit.ai/message?q=hi" | `{"value":"https://api.wit.ai/message?q=hi","domain":"api.wit.ai"}`
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| `Volume` | "4 gallons" | `{"value":4,"type":"value","unit":"gallon"}`
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## Extending Duckling
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To regenerate the classifiers and run the test suite:
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```
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$ stack build :duckling-regen-exe && stack exec duckling-regen-exe && stack test
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```
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It's important to regenerate the classifiers after updating the code and before
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running the test suite.
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To extend Duckling's support for a dimension in a given language, typically 2
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files need to be updated:
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* `Duckling/<dimension>/<language>/Rules.hs`
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* `Duckling/<dimension>/<language>/Corpus.hs`
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Rules have a name, a pattern and a production.
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Patterns are used to perform character-level matching (regexes on input) and
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concept-level matching (predicates on tokens).
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Productions are arbitrary functions that take a list of tokens and return a new
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token.
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The corpus (resp. negative corpus) is a list of examples that should (resp.
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shouldn't) parse. The reference time for the corpus is Tuesday Feb 12, 2013 at
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4:30am.
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`Duckling.Debug` provides a few debugging tools:
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```
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> :l Duckling.Debug
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> debug EN "in two minutes" [This Time]
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in|within|after <duration> (in two minutes)
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-- regex (in)
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-- <integer> <unit-of-duration> (two minutes)
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-- -- integer (0..19) (two)
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-- -- -- regex (two)
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-- -- minute (grain) (minutes)
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-- -- -- regex (minutes)
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[Entity {dim = "time", body = "in two minutes", value = "{\"values\":[{\"value\":\"2013-02-12T04:32:00.000-02:00\",\"grain\":\"second\",\"type\":\"value\"}],\"value\":\"2013-02-12T04:32:00.000-02:00\",\"grain\":\"second\",\"type\":\"value\"}", start = 0, end = 14}]
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```
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## License
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Duckling is BSD-licensed. We also provide an additional patent grant.
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