The N2 corpus: A semantically annotated collection of Islamist extremist stories

Mark A. Finlayson, Jeffry R. Halverson, Steven Corman

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

We describe the N2 (Narrative Networks) Corpus, a new language resource. The corpus is unique in three important ways. First, every text in the corpus is a story, which is in contrast to other language resources that may contain stories or story-like texts, but are not specifically curated to contain only stories. Second, the unifying theme of the corpus is material relevant to Islamist Extremists, having been produced by or often referenced by them. Third, every text in the corpus has been annotated for 14 layers of syntax and semantics, including: referring expressions and co-reference; events, time expressions, and temporal relationships; semantic roles; and word senses. In cases where analyzers were not available to do high-quality automatic annotations, layers were manually double-annotated and adjudicated by trained annotators. The corpus comprises 100 texts and 42, 480 words. Most of the texts were originally in Arabic but all are provided in English translation. We explain the motivation for constructing the corpus, the process for selecting the texts, the detailed contents of the corpus itself, the rationale behind the choice of annotation layers, and the annotation procedure.

Original languageEnglish (US)
Title of host publicationProceedings of the 9th International Conference on Language Resources and Evaluation, LREC 2014
PublisherEuropean Language Resources Association (ELRA)
Pages896-902
Number of pages7
ISBN (Electronic)9782951740884
StatePublished - Jan 1 2014
Event9th International Conference on Language Resources and Evaluation, LREC 2014 - Reykjavik, Iceland
Duration: May 26 2014May 31 2014

Other

Other9th International Conference on Language Resources and Evaluation, LREC 2014
CountryIceland
CityReykjavik
Period5/26/145/31/14

Keywords

  • Multi-layered annotation
  • Narrative corpora
  • Religious texts

ASJC Scopus subject areas

  • Linguistics and Language
  • Library and Information Sciences
  • Education
  • Language and Linguistics

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