Named Entities evaluation corpus for Serbian

56 Last view: 2022-11-20

Named Entities evaluation corpus for Serbian

SrpNEval

http://www.korpus.matf.bg.ac.rs/SrpNEval

ID:

613 Named Entities evaluation corpus for Serbian (SrpNEval) consists of 2000 short news published by Serbian news agencies and daily newspapers in 2005 and 2006. They cover mostly Serbian internal and foreign politics. The size of corpus is: 2,000 short news, 3,343 sentences, 89,425 words, 7,122 named entity tags. Named entities were automatically recognized and manually corrected. Recognized named entitites are: persons (full names - 1,648, last names - 152, distinguished - 24), time expressions (dates - 366 and time of day - 33), measurement expressions - 17, money expressions - 146, amount expressions - 322, percent expressions - 53, geopolitical names (countries - 1,390, cities - 1,440, hydronyms - 11, oronyms - 21), organizations - 1,499. The corpus comes in two variants: Latin alphabet and Cyrillic alphabet.

You don’t have the permission to edit this resource.

DistributionAvailability

Available - Unrestricted Use

Start date: 31/01/2013

Licence

CC - BY - NC

Restrictions: Academic - Non Commercial Use

Fee: no price

Download location: hidden

Distribution Access/Medium: Downloadable

Licensors:

Duško Vitas

Distribution rights holders:

Duško Vitas

IPR Holder

Cvetana Krstev

Contact Person

Cvetana Krstev

text

Monolingual text corpusLanguages

Serbian (89,425 Words)

Language Script: Latin

Variety: Ekavian (Type: Dialect) (89,425 Words)

Linguality

Linguality type: Monolingual

Size

89,425 Words

Character encoding

UTF - 16 (89,425 Words)

Domains

news (89,425 Words)

Modalities

Written Language

AnnotationSemantic Annotation - Named Entities

StandOff: True

Segmentation level: Sentence

Format: XML

Annotation Mode: Mixed

Annotation Tools:

http://hlt.rgf.bg.ac...

Start date: 01/01/2011

Size: 7,122 Elements

Annotators:

Cvetana Krstev

Miloš Utvić

Creation

Creation mode: Mixed

Original Sources

http://www.arhiv.rs

Resource Creation

Resource Creator

Miloš Utvić

Cvetana Krstev

Creation started: 01/01/2011

Funding Project

#47003 - Infrastructure for Electronically Supported Learning in Serbia

Funding Type: National Funds

Funder: Serbian Ministary of Education and Science

Funding Country: Serbia

Project duration: 01/01/2011 - 31/12/2015

Metadata

Created: 24/01/2013

Last Updated: 24/01/2013

Source: CESAR

Metadata Creator

Cvetana Krstev

Version

Version: v1.0

Last Updated: 31/01/2013

ValidationValidated

Type of Validation: Formal

Validation Mode: Mixed

Extent: Full

Validator

Miloš Utvić

Usage

Foreseen UseNlp Applications

Use NLP Specific: Document Classification, Named Entity Recognition, Person Recognition, Temporal Expression Recognition

Actual Use - Nlp Applications

Use NLP Specific: Information Extraction, Information Retrieval

Usage Report

Cvetana Krstev, Duško Vitas, Ivan Obradović, Miloš Utvić, “E-Dictionaries and Finite-State Automata for the Recognition of Named Entities”, in Proceedings of the 9th International Workshop on Finite State Methods and Natural Language Processing, FSMNLP 2011, Blois, France, July 12-15, 2011. eds. Andreas Maletti and Matthieu Constant, Association for Computational Linguistics, ISBN 978-3-642-14769-2, pp. 48-56, 2011.

Cvetana Krstev, Jelena Jaćimović and Duško Vitas, “Recognition and normalization of some classes of named entities in Serbian”, BCI '12 Proceedings of the Fifth Balkan Conference in Informatics, ACM New York, NY, USA, 2012, pp. 52-57, eds. Mirjana Ivanović and Zoran Budimac, ISBN 978-1-4503-1240-0, DOI 10.1145/2371316.2371327

People who looked at this resource also viewed the following:

Resources from the same project

Resources from the same creators