A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text
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ner
relation_extraction
README.md
ner.png
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README.md

Chinese-Literature-NER-RE-Dataset

A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text

We provide a new Chinese literature dataset for Named Entity Recognition (NER) and Relation Extraction (RE). The dataset is described at https://arxiv.org/pdf/1711.07010.pdf

Tagging Set

We define 7 entity tags and 9 relation tags based on several available NER and RE datasets but with some additional categories specific to Chinese literature text. ner.png relation.png

Annotation Format

Entity

Each entity is identified by T tag, which takes several attributes.

Id: a unique number identifying the entity within the document. It starts at 0, and is incremented every time a new entity is identified within the same document.

Type: one of the entity tags.

Begin Index: the begin index of an entity. It starts at 0, and is incremented every character.

End Index: the end index of an entity. It starts at 0, and is incremented every character.

Value: words being referred to an identifiable object.

Relation

Each relation is identified by R tag, which can take several attributes:

Id: a unique number identifying the relation within the document. It starts at 0, and is incremented every time a new relation is identified within the same document.

Arg1 and Arg2: two entities associated with a relation.

Type: one of the relation tags.

Citation

@inproceedings{dnerre,

author = {Jingjing Xu and Ji Wen and Xu Sun and Qi Su},

title = {A Discourse-Level Named Entity Recognition and Relation Extraction Dataset for Chinese Literature Text},

journal = {CoRR},

volume = {abs/1711.07010},

year = {2017},

url = http://arxiv.org/abs/1711.07010

}