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Currently, some predicted relations are unexpected or, instead, some expected relations are missed in answers of the system.
We need to detect the examples and try to solve them.
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1. related to Spengler's Proposal 2 (connected to FFC)
2. which language (my proposal: english)
3. optional: look for corresponding data sources (connected to Web Harvesting...)
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Any plans for international support, i guess i am trying to use the tokenizer to parse Arabic words
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### System Info
private setup:
- `transformers` version: 4.35.2
- Platform: Linux-5.4.0-42-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- Huggingface_hub version: 0.19.4
- Safetensors …
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## 0. 論文
### タイトル
Commonsense Knowledge Aware Conversation Generation with Graph Attention
### リンク
https://www.ijcai.org/proceedings/2018/643
### 著者
Hao Zhou, Tom Young, Minlie Huang…
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Hi,
is there any script in this repository to additional training a pretrained-Bert on unlabeled data?
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@QMSS-G5063-2022/teaching_team
SHA: e4784df1f3f35076831f60c1332a5a65d0cf0b56
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When transcribing a 3min audio with basic parameters and no stem, the resulting .srt file only consists of a part from the original audio sometimes its the start, sometimes the end and sometimes somet…
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Hi Team,
Firstof all , Kudos to your work !!
The keyBERT model produces duplicate keywords such as "Optimize" and "Optiization".
Could you please help me in resolving this issue?
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In this issue you can either:
- **Add papers** that you think are interesting to read and discuss (please stick to the format).
- **vote**: should be done using :+1: on comments