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DeployableNatural Language Processing
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By IBM Developer Staff | Published July 9, 2019
Artificial intelligenceDeep learningNatural language processingNatural Language Processing
This model takes a JSON input that encapsulates some text snippets and returns a text summary that represents the key information or message in the input text. The model was trained on the CNN / Daily Mail dataset. The model has a vocabulary of approximately 200k words. The model is based on the ACL 2017 paper, Get To The Point: Summarization with Pointer-Generator Networks.
A. See, P. J. Liu, C. D. Manning, Get To The Point: Summarization with Pointer-Generator Networks, ACL, 2017.
The text summarization repository
This model can be deployed using the following mechanisms:
docker run -it -p 5000:5000 codait/max-text-summarizer
kubectl apply -f https://raw.githubusercontent.com/IBM/MAX-Text-Summarizer/master/max-text-summarizer.yaml
You can test or use this model using cURL
Once deployed, you can test the model from the command line. For example:
$ curl -d @samples/sample1.json -H "Content-Type: application/json" -XPOST http://localhost:5000/model/predict
You should see a JSON response like that below:
["nick gordon 's father -lrb- left and right -rrb- gave an interview about the 25-year-old fiance of bobbi kristina brown . it has been reported that gordon , 25 , has threatened suicide and has been taking xanax since . whitney houston 's daughter was found unconscious in a bathtub in january . on wednesday , access hollywood spoke exclusively to gordon 's stepfather about his son 's state of mind . "]
Take a look at new MAX models for natural language processing tasks and new pens on CodePen.
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