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## 📝 Introduction
[NLP] ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
## Why?
- Multi-turn inference 시 history(contexts) 정보를 활용할 때 주요한 cont…
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## Keyword: text generation
### Diffusion Models in NLP: A Survey
- **Authors:** Yuansong Zhu, Yu Zhao
- **Subjects:** Computation and Language (cs.CL); Artificial Intelligence (cs.AI)
- **Arxiv li…
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```
$ parlai display_data --task personachat
Traceback (most recent call last):
File "d:\pycharmproject\rocosa\recosa-dialogue-generation-pytorch\parlai\parlai\utils\io.py", line 8, in
from…
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En bas à droite de la newsletter, après l'AASQA et le RNSA, on rajoute:
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Seulement pour les villes suivantes :
Abbaretz
Aigrefeuill…
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Hi, Thank you for publishing this great repository.
I opened this issue because I want to ask a question to you.
I'm currently trying to implement a multi-turn dialogue generation task using ReCoS…
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## 📝 Introduction
[NLP] ReCoSa: Detecting the Relevant Contexts with Self-Attention for Multi-turn Dialogue Generation
## Why?
- Multi-turn inference 시 history(contexts) 정보를 활용할 때 주요한 cont…
-
Hi~Thank you for sharing such a helpful repo.
Now that I have a little confused about the ReCoSa model. In the original paper, the ReCoSa model is add a GRU encoder to transformer . But the code you …
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I have trained 200 epochs with ReCoSa model and the result as the following:
could this be a data format problem?
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Hi. When I employ the Transformer Encoder-Decoder framework on dialogue generation task, there are two serious issues on the generated results. First, the generated results are always begin with word…
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Hi, thanks for your open source codes of this work.
I try to apply your code on a new dataset DialogDialog, but I found that the outputs of the model are all the token '.' which means nothing.
So,…