RONEC - the Romanian Named Entity Corpus

Version 1.0 of this free corpus holds 5127 sentences, annotated with 16 classes, with a total of 26376 annotated entities. The corpus comes into two formats: BRAT and CONLLUP, stored in the roner/ folder. The CONLLUP file is annotated with lemma, POSes and dependency parsing information with NLP-Cube. For more details regarding the corpus please see its dedicated info file.

CONLLUP version: What is CONLLUP?

Direct download of the text file in PARSEME:MWE format (~14.3MB): PARSEME:MWE Download

Direct download of the text file in IOB format (~14.5MB): IOB Download

Example of an annotated sentence (annotations are in the last column, in the PARSEME:MWE annotation format):

Peste 200000 de pelerini au asistat, la Lourdes, la liturghia în aer liber oficiată de Suveranul Pontif cu ocazia praznicului Adormirii Maicii Domnului.

1	Peste	peste	ADP	Spsa	AdpType=Prep|Case=Acc	2	advmod	_	_	*
2	200000	200000	NUM	Mc-p-d	Number=Plur|NumForm=Digit|NumType=Card	4	nummod	_	_	1:NUMERIC_VALUE
3	de	de	ADP	Spsa	AdpType=Prep|Case=Acc	2	case	_	_	*
4	pelerini	pelerin	NOUN	Ncmp-n	Definite=Ind|Gender=Masc|Number=Plur	6	nsubj	_	_	2:PERSON
5	au	avea	AUX	Va--3p	Number=Plur|Person=3	6	aux	_	_	*
6	asistat	asista	VERB	Vmp--sm	Gender=Masc|Number=Sing|VerbForm=Part	0	root	_	SpaceAfter=No	*
7	,	,	PUNCT	COMMA	_	9	punct	_	_	*
8	la	la	ADP	Spsa	AdpType=Prep|Case=Acc	9	case	_	_	*
9	Lourdes	Lourdes	PROPN	Np	_	6	obl	_	SpaceAfter=No	3:GPE
10	,	,	PUNCT	COMMA	_	9	punct	_	_	*
11	la	la	ADP	Spsa	AdpType=Prep|Case=Acc	12	case	_	_	*
12	liturghia	liturghie	NOUN	Ncfsry	Case=Acc,Nom|Definite=Def|Gender=Fem|Number=Sing	6	obl	_	_	*
13	în	în	ADP	Spsa	AdpType=Prep|Case=Acc	14	case	_	_	*
14	aer	aer	NOUN	Ncms-n	Definite=Ind|Gender=Masc|Number=Sing	12	nmod	_	_	*
15	liber	liber	ADJ	Afpms-n	Definite=Ind|Degree=Pos|Gender=Masc|Number=Sing	14	amod	_	_	*
16	oficiată	oficia	VERB	Vmp--sf	Gender=Fem|Number=Sing|VerbForm=Part	12	acl	_	_	*
17	de	de	ADP	Spsa	AdpType=Prep|Case=Acc	18	case	_	_	*
18	Suveranul	suveran	NOUN	Ncmsry	Case=Acc,Nom|Definite=Def|Gender=Masc|Number=Sing	16	nmod:agent	_	_	4:PERSON
19	Pontif	pontif	ADJ	Np	_	18	nmod	_	_	4
20	cu	cu	ADP	Spsa	AdpType=Prep|Case=Acc	21	case	_	_	*
21	ocazia	ocazie	NOUN	Ncfsry	Case=Acc,Nom|Definite=Def|Gender=Fem|Number=Sing	16	obl	_	_	*
22	praznicului	praznic	NOUN	Ncmsoy	Case=Dat,Gen|Definite=Def|Gender=Masc|Number=Sing	21	nmod	_	_	*
23	Adormirii	adormire	NOUN	Ncfsoy	Case=Dat,Gen|Definite=Def|Gender=Fem|Number=Sing	22	nmod	_	_	5:EVENT
24	Maicii	maică	NOUN	Ncfsoy	Case=Dat,Gen|Definite=Def|Gender=Fem|Number=Sing	23	nmod	_	_	5
25	Domnului	domn	NOUN	Ncmsoy	Case=Dat,Gen|Definite=Def|Gender=Masc|Number=Sing	23	nmod	_	SpaceAfter=No	5
26	.	.	PUNCT	PERIOD	_	6	punct	_	SpaceAfter=No	*

BRAT version: What is BRAT?

The BRAT format comes ready-to-use in the BRAT annotator. The corpus is pre-split into 20 sub-folders. Just clone this repo and copy the ronec/brat/ contents into the BRAT annotator's data/ folder.

Helper scripts

We also release a set of Python3 scripts in the scripts/ folder. The main.py file contains one-liner functions that read, write and convert to/from BRAT/CONLLUP formats. More info regarding the scrips is found in its Jupyter notebook.

Spacy NER Integration

Spacy is a well-known text processor, which includes a NER engine. This tutorial shows how to train a NER model based on RONEC, and perform entity recognition on arbitrary text (in Python). Right now, to use RONEC in SpaCy, just download the pretrained model and load it locally. That's it.

Authors

Credits

Please consider citing the following paper as a thank you to the authors of the RONEC:

Dumitrescu, Stefan Daniel, and Andrei-Marius Avram. "Introducing RONEC--the Romanian Named Entity Corpus." arXiv preprint arXiv:1909.01247 (2019).

or in .bibtex format:

@article{dumitrescu2019introducing,
  title={Introducing RONEC--the Romanian Named Entity Corpus},
  author={Dumitrescu, Stefan Daniel and Avram, Andrei-Marius},
  journal={arXiv preprint arXiv:1909.01247},
  year={2019}
}

Resource ID

ISLRN Resource ID

0wnrepo / ronec