Sihao Chen
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README.md
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---
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language:
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- en
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thumbnail: https://cogcomp.seas.upenn.edu/images/logo.png
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tags:
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- text-classification
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- bart
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- xsum
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license: cc-by-sa-4.0
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datasets:
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- xsum
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---
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# bart-faithful-summary-detector
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## Model description
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A BART (base) model trained to classify whether a summary is *faithful* to the original article. See our [paper in NAACL'21](https://www.seas.upenn.edu/~sihaoc/static/pdf/CZSR21.pdf) for details.
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## Usage
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Concatenate a summary and a source document as input (note that the summary needs to be the **first** sentence).
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```python
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model =
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```
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### BibTeX entry and citation info
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```bibtex
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@inproceedings{CZSR21,
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author = {Sihao Chen and Fan Zhang and Kazoo Sone and Dan Roth},
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title = {{Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection}},
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booktitle = {NAACL},
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year = {2021}
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}
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```
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