license: cc-by-4.0 language:
- he ---# Coreference Project by
DDRND (Mafat) as part of the Israeli national NLP program (see our GitHub at https://nnlp-il.mafat.ai/#Our-Github) and the Israeli Association of Human Language Technologies (https://www.iahlt.org)
Introduction
The coreference corpus is an extension of IAHLT's named entities dataset for Hebrew and Arabic. This project is a work in progress, such that a subset of articles (full-doc level) that are already annotated for entities are being further annotated for (named) entity coreference.
The corpus consists of 1 apc articles from Youtube transcripts (0%); 201. arb articles from the Kul al-Arab news organisation (96%), the All Rights. entitlements organisation (0%), Weizmann popular science articles (2%);. 657 heb articles from Bagatz court decisions (3%), Davar news organisation. (75%), Israel Hayom news organisation (3%), Knesset protocols (1%),. Weizmann popular science articles (4%), Hebrew Wikipedia entries (11%);.
The corpus, 1 paragraphs (apc), 2811 paragraphs (arb) and 9610 paragraphs (heb), has been annotated with morpheme-level mention spans, assembled into coreference clusters with entity types.
Data set
The current release includes the following files:
Annotated documents (.jsonl):
- data/coref-4-rc7-heb-all -- heb articles
- data/coref-4-rc7-heb-unique -- heb articles, each annotated once
- data/coref-4-rc7-heb-iaa -- heb articles, used for IAA
Additionally, all files are provided in a human-readable form (readable_data/*).
Format
Each article is a single json record. Some articles have been doubly-annotated for the purposes of inter-annotator agreement study, their articles appear multiple times.
The jsonl structure is:
{ text: str,
user: str,
metadata: { source: str, doc_id: str, ... },
clusters: [ {
metadata: { name: str, entity: str },
mentions: [ (int, int, dict) ]
} ]
}
The text field contains the raw text of the original article. The top-level
metadata dictionary provides document-level metadata, minimally source and
doc_id.
The clusters field is a list of JSON cluster records each containing a
metadata and mentions field. The cluster-level metadata field has a name
for the cluster and its entity type. The mentions field is a list of triples:
the span indices of the text plus a metadata dictionary. We provide no
mention-level metadata in this release.
Not all clusters have been annotated for entity type; this will be completed in a future release.
Acknowledgments
We would like to thank all the people who contributed to this corpus:
Amir Cohen Amjad Aliat Emmanuel Kowner Israel Landau Mutaz Ayesh Nick Howell Noam Ordan Omer Strass Shahar Adar Shira Wigderson Yifat Ben Moshe amirejmail hiba_ammash