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Towards named entity annotation of latvian national library corpus

  • Peteris Paikens*
  • , Ilze Auzina
  • , Ginta Garkaje
  • , Madara Paegle
  • *Corresponding author for this work
  • University of Latvia

Research output: Chapter in Book/Report/Conference proceedingConference paperResearchpeer-review

9 Citations (Scopus)

Abstract

The paper describes a work in progress of building a catalogue of named entities-people, places and organizations-based on a recently digitized large (4.5 billion tokens) Latvian corpus. The authors propose an annotation standard for markup of named entities within Latvian corpus, according to which a representative set of documents (150 000 words) are manually annotated. This corpus is used for training and evaluation of an automated named entity recognition system based on Stanford CRF classifier, achieving an F-score of up to 81%. The named entities indexed within the Latvian National Library corpus and the annnotated documents are publicly available for linguistic and historical research online.

Original languageEnglish
Title of host publicationHuman Language Technologies - The Baltic Perspective. Proceedings of the Fifth International Conference Baltic HLT 2012
PublisherIOS Press BV
Pages169-175
Number of pages7
ISBN (Print)9781614991328
DOIs
Publication statusPublished - 2012
Externally publishedYes
Event5th International Conference on Human Language Technologies - The Baltic Perspective, Baltic HLT 2012 - Tartu, Estonia
Duration: 4 Oct 20125 Oct 2012

Publication series

NameFrontiers in Artificial Intelligence and Applications
Volume247
ISSN (Print)0922-6389
ISSN (Electronic)1879-8314

Conference

Conference5th International Conference on Human Language Technologies - The Baltic Perspective, Baltic HLT 2012
Country/TerritoryEstonia
CityTartu
Period4/10/125/10/12

Keywords

  • Latvian
  • NER
  • corpus indexing
  • named entity recognition

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