FRACAS: FRench Annotated Corpus of Attribution relations in newS
Authors/Creators
- 1. PACTE, LIG, Université Grenoble-Alpes
- 2. LIG, Université Grenoble-Alpes
- 3. LIG, INP, CNRS, Université Grenoble-Alpes
Description
A human-annotated corpus for French quotation extraction containing 1676 newswire texts with 10 965 annotated attribution relations (quotes attributed to its speaker).
Data: 1676 newswire texts in French from Reuters annotated with 10 965 attribution relations
Date: April 1995 to April 1996
Data structure:
{
"text": text of the newswire,
"entities": a list of each entity in the following format ["id": unique_id, "text": text of entity, "label": entity label, "gender": gender (if labelled), "char_span": a list of character index span]
"relations": a list of each relation in the following format [id of relation, label of relation, id of first entity, id of second entity
}
Labels:
- Entities:
- Quotation (Direct, Indirect or Mixed)
- Speaker (Agent, Organization, Group of People, Source Pronoun)
- Cue
- Attributes:
- Speaker Gender (Male, Female, Mixed, Unknown, Other)
- Relations:
- Speaker Quoted in Quotation
- Cue Indicates Quotation
- Source Pronoun Refers to Speaker
Files
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This dataset is an annotated version of part of the Reuters Corpora distributed by the NIST. This corpus is freely available but the text cannot be redistributed without first requesting an authorization by the NIST.
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Additional details
Related works
- Is described by
- Preprint: arXiv:2309.10604 (arXiv)
- Conference paper: https://aclanthology.org/2024.lrec-main.654 (URL)