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We should discuss where the classifications go for provenance activities -- I believe they should all go on the top level wrapper activity, and not on the parts. For example a purchase is the activ…
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# Beschreibung:
Ein Chatbot, der nach verschiedenen Kryptowährungen gefragt werden kann, zum Beispiel wo liegt der aktuelle Kurs oder wie hat sich der Kurs in der Vergangenheit verhalten. Eine AI Kom…
RuHae updated
3 years ago
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您好，我训练用的命令是
`python -m elmoformanylangs.biLM train --train_path /home/data/peter/intent_classification/c2_intent_ltp_sent.txt --config_path /home/data/peter/ELMoForManyLangs/pretrained_model/configs…
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XKOS is a bundle of SKOS extensions for requirements specific to the Statistical community which are not covered by SKOS alone and is aimed mainly at SKOS users:
- handling of classification levels
…
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where is the result on dataset citation_intent and mag in paper?
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As I first heart about BERT I was thrilled. But still you need labeled data when fine-tune the model, right? Nevertheless, this will be better and you need far less data now than most of the algorithm…
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Hi team. What's the current suggestion or best practice for creating a domain-specific sentence embedding?
Here's what type of data I have
```
- Unlabel domain-specific data (~10M rows)
- Some…
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https://github.com/jinglescode/demos/tree/master/src/app/components/nlp-sentence-encoder
dcsan updated
3 years ago
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According to Dialogflow, each time intent is updated, training phrase is added, entities are updated, the underlying algorithm gets updated. Even I have experienced that the Dialogflow model taking ti…
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I am developing an intent classification model using the text classification pipeline. The model simply predicts intent based on a question provided (that comes from the user). Things work relatively …