Instance of: Resource Info

Contributor	Dávid Márk Nemeskey
	Eszter Simon
Description	The text of the corpus is automatically generated from Hungarian Wikipedia articles. It contains Named Entity (NE) tagging according to the CoNLL standard (Person, Organization, Location and Miscellaneous), and additional morphological annotation. The corpus is the largest ever NE tagged corpus for Hungarian, which can be used for training and testing NE recognizer applications. Thanks to the standard tagset, the performance of systems trained on the hunNERwiki corpus is comparable with the performance of other state-of-the-art systems. Besides the obvious advantages of fully automatic building and annotation procedure (reducing the annotation cost), the novelty of the corpus is the application of collaboratively constructed resources (Wikipedia, DBpedia).
Language	hu
Rights	CC-BY-SA
See Also	http://metashare.elda.org/repository/browse/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779/
Source	META-SHARE
Title	HunNERwiki: Automatically generated NE tagged corpus for Hungarian
Type	Dataset
Type	Corpus

Contact Point

Affiliation	Communication Info Address Lágymányosi u. 11. City Budapest Distribution Access URL http://www.nytud.hu/oszt/korpusz/Pinter_Tibor.html http://www.sztaki.hu/ Type Distribution URL Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Organization Name Computer and Automation Research Institute, Hungarian Academy of Sciences Organization Short Name MTA SZTAKI Type Organization Info Type
Communication Info	Address Lágymányosi u. 11. City Budapest Distribution Access URL http://www.nytud.hu/eng/index.html http://www.sztaki.hu/munkatars/008007760/ Type Distribution URL Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111
Given Name	Dávid Márk
Position	research associate
Surname	Nemeskey
Type	Contact Person
	Person
	Person Info Type

Affiliation	Communication Info Address Benczur utca 33. Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL2 Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email nemeskey.david@sztaki.hu linguinst@nytud.mta.hu Fax Number +36 1 322 9297 + 36 1 279 6108 Telephone Number + 36 1 321 4830 + 36 1 279 6154 Type Communication Info Zip Code 1111 1068 Department Name Department of Language Technology Organization Name Research Institute for Linguistics, Hungarian academy of Sciences Organization Short Name RIL HAS Type Organization Info Type
Communication Info	Address Benczur utca 33. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email pinter.tibor@nytud.mta.hu Fax Number +36 1 322 9297 Telephone Number + 36 1 321 4830 ext.119 Type Communication Info Zip Code 1068
Given Name	Tibor
Position	research fellow
Surname	Pinter
Type	Contact Person
	Person
	Person Info Type

Corpus Info

Corpus Text Info	Annotation Info Annotation Format text/csv Annotation Mode Automatic Annotation Tool in-house software, hunmorph, hundisambig Annotation Type Semantic Annotation-named Entities Annotator Person Info Affiliation Communication Info Address Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Organization Name Computer and Automation Research Institute, Hungarian Academy of Sciences Organization Short Name MTA SZTAKI Type Organization Info Type Communication Info Address Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL2 Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Given Name Dávid Márk Position research associate Surname Nemeskey Type Person Person Info Type Type Actor Person Info Affiliation Communication Info Address Benczúr utca 33. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email pinter.tibor@nytud.mta.hu Fax Number +36 1 322 9297 Telephone Number + 36 1 321 4830 ext.119 Type Communication Info Zip Code 1068 Department Name Department of Language Technology Organization Name Research Institute for Linguistics, Hungarian Academy of Sciences Organization Short Name RIL HAS Type Organization Info Type Communication Info Address Benczúr utca 33. City Budapest Distribution Access URL http://www.nytud.hu/oszt/korpusz/Simon_Eszter.html Type Distribution URL Email eszter@nytud.mta.hu Fax Number +36 1 322 9297 Telephone Number + 36 1 321 4830 ext.119 Type Communication Info Zip Code 1068 Given Name Eszter Position research fellow Surname Simon Type Person Person Info Type Type Actor Conformance To Standards Best Practices Other Segmentation Level Word Size Per Annotation Size 19108597 Size Unit Words Type Size Info Type Type Annotation Info Character Encoding Info Character Encoding UTF-8 Size Per Character Encoding Size 19108597 Size Unit Words Type Size Info Type Type Character Encoding Info Language Info Language hu Language Name Hungarian Size Per Language Size 19108597 Size Unit Words Type Size Info Type Type Language Info Linguality Info Linguality Type Monolingual Type Linguality Info Media Type Text Modality Info Modality Type Written Language Type Modality Info Size Info Size 19108597 Size Unit Words Type Size Info Type Text Format Info Mime Type text/xml Size Per Text Format Size 19108597 Size Unit Words Type Size Info Type Type Text Format Info Type Corpus Text Info
Resource Type	Corpus
Type	Corpus Info

Distribution Info

Availability	Available-unrestricted Use
Availability Start Date	2012-07-01 Date
Ipr Holder	Organization Info Communication Info Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#communication Info4 Organization Name Computer and Automation Research Institute, Hungarian Academy of Sciences Organization Short Name MTA SZTAKI Type Organization Info Type Type Actor
License	Delivery Channel Hard Disk Distribution Rights Holder Organization Info Communication Info Address Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Organization Name Computer and Automation Research Institute, Hungarian Academy of Sciences Organization Short Name MTA SZTAKI Type Organization Info Type Type Actor Licensor Person Info Affiliation Communication Info Address Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL3 Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Organization Name Computer and Automation Research Institute, Hungarian Academy of Sciences Organization Short Name MTA SZTAKI Type Organization Info Type Communication Info Address Lágymányosi u. 11. City Budapest Distribution Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Dist URL2 Email nemeskey.david@sztaki.hu Fax Number + 36 1 279 6108 Telephone Number + 36 1 279 6154 Type Communication Info Zip Code 1111 Given Name Dávid Márk Position research associate Surname Nemeskey Type Person Person Info Type Type Actor Permission Action http://creativecommons.org/ns/ShareALike http://creativecommons.org/ns/Attribution Duty Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#permission Type Duty Permission Restrictions Of Use Same As https://creativecommons.org/licenses/by-sa/4.0/ Type Licence Info
Type	Distribution
	Distribution Info

Identification Info

Description	The text of the corpus is automatically generated from Hungarian Wikipedia articles. It contains Named Entity (NE) tagging according to the CoNLL standard (Person, Organization, Location and Miscellaneous), and additional morphological annotation. The corpus is the largest ever NE tagged corpus for Hungarian, which can be used for training and testing NE recognizer applications. Thanks to the standard tagset, the performance of systems trained on the hunNERwiki corpus is comparable with the performance of other state-of-the-art systems. Besides the obvious advantages of fully automatic building and annotation procedure (reducing the annotation cost), the novelty of the corpus is the application of collaboratively constructed resources (Wikipedia, DBpedia).
Distribution	Access URL http://hlt.sztaki.hu/resources/hunnerwiki.html Type Distribution URL
Identifier	112
Meta Share Id	NOT_DEFINED_FOR_V2
Resource Short Name	hunNERwiki
Title	HunNERwiki: Automatically generated NE tagged corpus for Hungarian
Type	Identification Info

Usage Info

Actual Use Info	Actual Use Nlp Applications Type Actual Use Info Usage Report Document Unstructured Eszter Simon, Dávid M. Nemeskey. 2012. Automatically generated NE tagged corpora for English and Hungarian. In: Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics, pages 38-46. Type Documentation Info Type
Type	Usage Info

Version Info

Has Version	1.0
Modified	2012-06-30 Date
Revision	compilation of the corpus
Type	Version Info

Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#Header

Instance of: Catalog Record

Issued	2014-09-23T00:19:15Z Date
Primary Topic	HunNERwiki: Automatically generated NE tagged corpus for Hungarian
Set Spec	corpus:text
	corpus

Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#metadata Creator

Instance of: Actor

Is Creator of

Metashare/61caeaae64e211e2aa7c68b599c26a06a02655c476264027b093b7ae4abc9779#metadata Info