Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

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

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

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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 language	English
Pages (from-to)	70-79
Number of pages	10
Journal	CEUR Workshop Proceedings
Volume	3184
Publication status	Published - 11 Aug 2022
MoE publication type	A4 Article in a conference publication
Event	International Workshop on Knowledge Graph Generation from Text - Hersonissos, Greece Duration: 30 May 2022 → 30 May 2022 Conference number: 1

Keywords

digital humanities
linked data
natural language processing
parliamentary studies

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title = "Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language",

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.",

keywords = "digital humanities, linked data, natural language processing, parliamentary studies",

author = "Minna Tamper and Rafael Leal and Laura Sinikallio and Petri Leskinen and Jouni Tuominen and Eero Hyv{\"o}nen",

note = "Funding Information: Acknowledgements Our work is part of the Semantic Parliament project18, funded by the Academy of Finland and is also related to the EU project InTaVia19 and the EU COST action Nexus Linguarum20. The project uses the computing resources of the CSC – IT Center for Science. Publisher Copyright: {\textcopyright} 2022 Copyright for this paper by its authors. | openaire: EC/H2020/101004825/EU//InTaVia; International Workshop on Knowledge Graph Generation from Text, Text2KG ; Conference date: 30-05-2022 Through 30-05-2022",

year = "2022",

month = aug,

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pages = "70--79",

journal = "CEUR WORKSHOP PROCEEDINGS",

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publisher = "RWTH Aachen University",

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T1 - Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

AU - Tamper, Minna

AU - Leal, Rafael

AU - Sinikallio, Laura

AU - Leskinen, Petri

AU - Tuominen, Jouni

AU - Hyvönen, Eero

N1 - Conference code: 1

PY - 2022/8/11

Y1 - 2022/8/11

N2 - 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.

AB - 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.

KW - digital humanities

KW - linked data

KW - natural language processing

KW - parliamentary studies

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M3 - Conference article

AN - SCOPUS:85137151568

VL - 3184

SP - 70

EP - 79

JO - CEUR WORKSHOP PROCEEDINGS

JF - CEUR WORKSHOP PROCEEDINGS

SN - 1613-0073

T2 - International Workshop on Knowledge Graph Generation from Text

Y2 - 30 May 2022 through 30 May 2022

ER -

Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

Abstract

Keywords

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InTaVia: In/Tangible European Heritage – Visual Analysis, Curation and Communication

Cite this

Extracting Knowledge from Parliamentary Debates for Studying Political Culture and Language

Abstract

Keywords

Access to Document

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Projects

InTaVia: In/Tangible European Heritage – Visual Analysis, Curation and Communication

Cite this