Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

Minna Tamper*, Rafael Leal, Laura Sinikallio, Petri Leskinen, Jouni Tuominen, Eero Hyvönen

*Corresponding author for this work

Research output: Contribution to journalConference articleScientificpeer-review

2 Citations (Scopus)
100 Downloads (Pure)

Abstract

This paper presents knowledge extraction and natural language processing methods used to enrich the knowledge graph of the plenary debates (textual transcripts of speeches) of the Parliament of Finland. This knowledge graph includes some 960 000 speeches (1907–2021) interlinked with a prosopographical knowledge graph about the politicians. A recent subset of the speeches was used to extract named entities and topical keywords for semantic searching and browsing the data and for data analysis. The process is based on linguistic analysis, named entity linking, and automatic subject indexing. The results were included into the ParliamentSampo knowledge graph in a SPARQL endpoint. This data can be used for studying parliamentary language and culture in Digital Humanities research and for developing applications, such as the ParliamentSampo portal.

Original languageEnglish
Pages (from-to)70-79
Number of pages10
JournalCEUR Workshop Proceedings
Volume3184
Publication statusPublished - 11 Aug 2022
MoE publication typeA4 Conference publication
EventInternational Workshop on Knowledge Graph Generation from Text - Hersonissos, Greece
Duration: 30 May 202230 May 2022
Conference number: 1

Keywords

  • digital humanities
  • linked data
  • natural language processing
  • parliamentary studies

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