metadata

language:
  - en
thumbnail: https://cogcomp.seas.upenn.edu/images/logo.png
tags:
  - text-classification
  - bart
  - xsum
license: cc-by-sa-4.0
datasets:
  - xsum

bart-faithful-summary-detector

Model description

A BART (base) model trained to classify whether a summary is faithful to the original article. See our paper in NAACL'21 for details.

Usage

Concatenate a summary and a source document as input (note that the summary needs to be the first sentence).

model =

BibTeX entry and citation info

@inproceedings{CZSR21,
    author = {Sihao Chen and Fan Zhang and Kazoo Sone and Dan Roth},
    title = {{Improving Faithfulness in Abstractive Summarization with Contrast Candidate Generation and Selection}},
    booktitle = {NAACL},
    year = {2021}
}