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frank.yml
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template_name: frank
template_label: FRANK
template_description: Factuality in Abstractive Summarization
# ========================================================================================
#
# While we adapt the annotation typology proposed in the FRANK paper, their annotation simply
# has annotators select whether the error occurs in the sentence, not a span which corresponds
# to the error.
#
# ========================================================================================
interface_text:
typology:
context_label: "Article"
source_label: "Reference Summary"
target_label: "Generated Summary"
disable:
- annotation
display:
- side-by-side
edits:
- name: RelE
label: "Relation Error"
color: "#bd3dbf"
icon: fa-people-arrows
- name: EntE
label: "Entity Error"
color: blue
icon: fa-box
- name: CircE
label: "Circumstance Error"
color: teal
icon: fa-person-falling
- name: CorefE
label: "Coreference Error"
color: yellow
icon: fa-user-minus
- name: LinkE
label: "Discourse Link Error"
color: orange
icon: fa-comment-slash
- name: OutE
label: "Out of Article Error"
color: green
icon: fa-file-export
- name: GramE
label: "Grammatical Error"
color: red
icon: fa-spell-check
- name: OtherE
label: "Other Error"
color: grey
icon: fa-minus
paper_link: https://aclanthology.org/2021.naacl-main.383/
citation: |
@inproceedings{pagnoni-etal-2021-understanding,
title = "Understanding Factuality in Abstractive Summarization with {FRANK}: A Benchmark for Factuality Metrics",
author = "Pagnoni, Artidoro and
Balachandran, Vidhisha and
Tsvetkov, Yulia",
booktitle = "Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies",
month = jun,
year = "2021",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://www.aclweb.org/anthology/2021.naacl-main.383",
doi = "10.18653/v1/2021.naacl-main.383",
pages = "4812--4829",
}