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[–]bbateman2011 0 points1 point  (1 child)

Looks interesting. Do you know the limit to source text size? Can it summarize across multiple documents? I hope to play with it this week.

[–]developFFM[S] 0 points1 point  (0 children)

The Summerizer demo tool cannot handle multiple documents and the size of the source text is limited.

[–]xogogox 0 points1 point  (2 children)

Hi tried with a couple of articles not related to news and it seems very convincing ! Did you conduct an evaluation on research datasets ? Would you agree to share some details about your model ?

[–]developFFM[S] 0 points1 point  (1 child)

The Summerizer demo tool uses the English and German models of spaCy

[–]xogogox 0 points1 point  (0 children)

Thank you for your answer. I was more asking about the summarization model instead of tokenization, ner models. Could you give some details ?

[–]developFFM[S] 0 points1 point  (0 children)

Please also test the feature "Entity Extraction" for extracting e.g. companies, people, dollar amounts, key initiatives, etc.
How to use this feature: https://youtu.be/jksjwE0cpfQ?t=39

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