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### Describe the problem
To help annotators, the system should adapt as labels are added to sentences.
As an initial task, I think NER autolabeling makes most sense. Currently the system has no …
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[SentencePiece](https://github.com/google/sentencepiece) is generally used to create byte pairs in any language, as I can find there is no inbuilt support for this kind of tokenisation in rasa. Even t…
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**Description of Problem**:
Hey,
First of all, thanks for the great Rasa system that you have built. Actually, we have a large dataset to train the NLU model and it seems it doesn't handle a large f…
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**Description of Problem**:
DIET uses a Transformer encoder, however it is perfectly possible to use a different encoder instead. In my experiments (see below) both encoders achieve comparable pe…
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**Rasa version**: 1.10.7
**Python version**: 3.7
**Operating system**: Ubuntu 18
**Issue**: I am using the configuration given below. In the first case, I tested it with a 7MB large training dat…
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**Rasa version**:
2.1.0
**Rasa SDK version** (if used & relevant):
**Rasa X version** (if used & relevant):
**Python version**:
3.7
**Operating system** (windows, osx, ...):
osx
…
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Datasets for every single organs have accurate manual annotations, but as of today the integration using BBKNN+ridge regression was done using the inferred labels from logistic regression on the thymu…
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Related to https://github.com/RasaHQ/rasa/issues/6836
In order to verify if our proposed solution will work, we need to investigate the memory consumption.
Clarify the following questions:
- Does…
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**Rasa version**:
2.3.0
**Python version**:
3.7.2
**Operating system** (windows, osx, ...):
Linux
**Issue**:
`rasa test` fails due to OOM, even though `rasa train` completes successfully.…
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## Environment info
- `transformers` version: 4.1.1
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.6
- PyTorch version (GPU?): 1.7.1 (False)
- Tensorflow version (GPU?):…