bert-extractive-summarization
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MobileBERT and DistilBERT for extractive summarization
Bumps [transformers](https://github.com/huggingface/transformers) from 2.10.0 to 4.30.0. Release notes Sourced from transformers's releases. v4.30.0: 100k, Agents improvements, Safetensors core dependency, Swiftformer, Autoformer, MobileViTv2, timm-as-a-backbone 100k Transformers has just reached 100k stars...
Hello Chris, Are you planning to add a LICENSE to this repository ? Thanks
The code appends the sentence candidates in the order of highest-to-lowest scores, but as a result, the summary can have sentences scrambled into an unnatural order. It would be better...
Bumps [numpy](https://github.com/numpy/numpy) from 1.17.2 to 1.22.0. Release notes Sourced from numpy's releases. v1.22.0 NumPy 1.22.0 Release Notes NumPy 1.22.0 is a big release featuring the work of 153 contributors spread...
Hey, I believe there is some mistake in pre-processing function ([here](https://github.com/chriskhanhtran/bert-extractive-summarization/blob/d228ba1e63d0c84a86419f55b784844990cb68f5/ext_sum.py#L9)). As you have yourself mentioned in the comments, you should add `[SEP] [CLS]` but in the code (line 18),...
Hello I dug deeper into your code, I was interested to see the weight for each sentence. As a result, I saw that not all sentences receive weight. I started...