Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

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

*Tämän työn vastaava kirjoittaja

Tutkimustuotos: LehtiartikkeliConference articleScientificvertaisarvioitu

2 Sitaatiot (Scopus)
108 Lataukset (Pure)

Abstrakti

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.

AlkuperäiskieliEnglanti
Sivut70-79
Sivumäärä10
JulkaisuCEUR Workshop Proceedings
Vuosikerta3184
TilaJulkaistu - 11 elok. 2022
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisussa
TapahtumaInternational Workshop on Knowledge Graph Generation from Text - Hersonissos, Kreikka
Kesto: 30 toukok. 202230 toukok. 2022
Konferenssinumero: 1

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