| --- | |
| 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): | |
| 1. data/coref-4-rc7-heb-all -- heb articles | |
| 2. data/coref-4-rc7-heb-unique -- heb articles, each annotated once | |
| 3. 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 | |