Document-level Entity Coreference
Collection
Annotations of documents for identity coreference between entities.
•
11 items
•
Updated
Datasets:
Tags:
License:
ARRAU Version 2.1
- Project: https://sites.google.com/view/arrau/corpus
- Data source: https://catalog.ldc.upenn.edu/LDC2013T22 (Private distribution)
Details
Sub-corpora (original split):
- Gnome (no split)
- Pear Stories (no split)
- RST DTreeBank (train, dev, test)
- Trains 91 (no split)
- Trains 93 (no split)
- VPC (train, test) <- VPC is a subset of RST
Citation
@article{uryupina_artstein_bristot_cavicchio_delogu_rodriguez_poesio_2020,
title={Annotating a broad range of anaphoric phenomena, in a variety of genres: the ARRAU Corpus},
volume={26}, DOI={10.1017/S1351324919000056},
number={1},
journal={Natural Language Engineering},
publisher={Cambridge University Press},
author={Uryupina, Olga and Artstein, Ron and Bristot, Antonella and Cavicchio, Federica and Delogu, Francesca and Rodriguez, Kepa J. and Poesio, Massimo},
year={2020},
pages={95–128}
}
Features
{'chunk': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'tag': Value(dtype='string', id=None)}],
'coref': [{'ambiguity': Value(dtype='string', id=None),
'category': Value(dtype='string', id=None),
'category_2': Value(dtype='string', id=None),
'comment': Value(dtype='string', id=None),
'coref_set': Value(dtype='string', id=None),
'gender': Value(dtype='string', id=None),
'generic': Value(dtype='string', id=None),
'generic_2': Value(dtype='string', id=None),
'gram_fnc': Value(dtype='string', id=None),
'id': Value(dtype='string', id=None),
'min_ids': Value(dtype='string', id=None),
'min_words': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'multiple_phrase_antecedents': Value(dtype='string', id=None),
'multiple_phrase_antecedents_2': Value(dtype='string', id=None),
'non_ref_type': Value(dtype='string', id=None),
'non_ref_type_2': Value(dtype='string', id=None),
'number': Value(dtype='string', id=None),
'object': Value(dtype='string', id=None),
'object_2': Value(dtype='string', id=None),
'on_map': Value(dtype='string', id=None),
'on_map_2': Value(dtype='string', id=None),
'person': Value(dtype='string', id=None),
'phrase_antecedent': Value(dtype='string', id=None),
'phrase_antecedent_2': Value(dtype='string', id=None),
'ref_type': Value(dtype='string', id=None),
'ref_type_2': Value(dtype='string', id=None),
'reference': Value(dtype='string', id=None),
'related_object': Value(dtype='string', id=None),
'related_object_2': Value(dtype='string', id=None),
'related_phrase': Value(dtype='string', id=None),
'related_phrase_2': Value(dtype='string', id=None),
'related_rel': Value(dtype='string', id=None),
'related_rel_2': Value(dtype='string', id=None),
'segment_antecedent': Value(dtype='string', id=None),
'segment_antecedent_2': Value(dtype='string', id=None),
'single_phrase_antecedent': Value(dtype='string', id=None),
'single_phrase_antecedent_2': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'type': Value(dtype='string', id=None)}],
'corpus': Value(dtype='string', id=None),
'document_name': Value(dtype='string', id=None),
'enamex': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'tag': Value(dtype='string', id=None)}],
'markable': [{'id': Value(dtype='string', id=None),
'isprenominal': Value(dtype='string', id=None),
'label': Value(dtype='string', id=None),
'lemmata': Value(dtype='string', id=None),
'min_ids': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'pos': Value(dtype='string', id=None),
'sentenceid': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'type': Value(dtype='string', id=None)}],
'morph': [{'id': Value(dtype='string', id=None),
'lemma': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None)}],
'parse': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'tag': Value(dtype='string', id=None)}],
'phrase': [{'ambiguity': Value(dtype='string', id=None),
'category': Value(dtype='string', id=None),
'category_2': Value(dtype='string', id=None),
'comment': Value(dtype='string', id=None),
'gender': Value(dtype='string', id=None),
'generic': Value(dtype='string', id=None),
'generic_2': Value(dtype='string', id=None),
'gram_fnc': Value(dtype='string', id=None),
'id': Value(dtype='string', id=None),
'min_ids': Value(dtype='string', id=None),
'min_words': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'multiple_phrase_antecedents': Value(dtype='string', id=None),
'multiple_phrase_antecedents_2': Value(dtype='string', id=None),
'non_ref_type': Value(dtype='string', id=None),
'non_ref_type_2': Value(dtype='string', id=None),
'number': Value(dtype='string', id=None),
'object': Value(dtype='string', id=None),
'object_2': Value(dtype='string', id=None),
'on_map': Value(dtype='string', id=None),
'on_map_2': Value(dtype='string', id=None),
'person': Value(dtype='string', id=None),
'phrase_antecedent': Value(dtype='string', id=None),
'phrase_antecedent_2': Value(dtype='string', id=None),
'ref_type': Value(dtype='string', id=None),
'ref_type_2': Value(dtype='string', id=None),
'reference': Value(dtype='string', id=None),
'related_object': Value(dtype='string', id=None),
'related_object_2': Value(dtype='string', id=None),
'related_phrase': Value(dtype='string', id=None),
'related_phrase_2': Value(dtype='string', id=None),
'related_rel': Value(dtype='string', id=None),
'related_rel_2': Value(dtype='string', id=None),
'segment_antecedent': Value(dtype='string', id=None),
'segment_antecedent_2': Value(dtype='string', id=None),
'single_phrase_antecedent': Value(dtype='string', id=None),
'single_phrase_antecedent_2': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'type': Value(dtype='string', id=None)}],
'pos': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'tag': Value(dtype='string', id=None)}],
'sentence': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'orderid': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None)}],
'split': Value(dtype='string', id=None),
'unit': [{'finite': Value(dtype='string', id=None),
'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'subject': Value(dtype='string', id=None),
'utype': Value(dtype='string', id=None),
'verbed': Value(dtype='string', id=None)}],
'utterance': [{'id': Value(dtype='string', id=None),
'mmax_level': Value(dtype='string', id=None),
'span': Value(dtype='string', id=None),
'type': Value(dtype='string', id=None)}],
'words': [{'id': Value(dtype='string', id=None),
'text': Value(dtype='string', id=None)}]}
- Downloads last month
- 0