QuoteKG: A Multilingual Knowledge Graph of Quotes
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Abstract (arXiv)
Quotes of public figures can mark turning points in history. A quote can explain its originator's actions, foreshadowing political or personal decisions and revealing character traits. Impactful quotes cross language barriers and influence the general population's reaction to specific stances, always facing the risk of being misattributed or taken out of context. The provision of a cross-lingual knowledge graph of quotes that establishes the authenticity of quotes and their contexts is of great importance to allow the exploration of the lives of important people as well as topics from the perspective of what was actually said. In this paper, we present QuoteKG, the first multilingual knowledge graph of quotes. We propose the QuoteKG creation pipeline that extracts quotes from Wikiquote, a free and collaboratively created collection of quotes in many languages, and aligns different mentions of the same quote. QuoteKG includes nearly one million quotes in 55 languages, said by more than 69,000 people of public interest across a wide range of topics. QuoteKG is publicly available and can be accessed via a SPARQL endpoint.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Builds on 13 of its 37 references that are in the map. First posted on arXiv 19 Jul 2022.
Builds on
13 of 37 references.
References · 13
- 2019Unsupervised Cross-lingual Representation Learning at Scalecited by 3,907
- 2020XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalizationcited by 738
- 2020XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generationcited by 221
- 2018Automated Fact Checking: Task formulations, methods and future directionscited by 96
- 2018Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spacescited by 34
- 2019EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generationcited by 24
- 2019BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novelscited by 17
- 2020Measuring Information Propagation in Literary Social Networkscited by 15
- 2015QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patternscited by 8
- 2020EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graphcited by 4
- 2015TimeMachine: Timeline Generation for Knowledge-Base Entitiescited by 3
- 2019MultiWiki: Interlingual Text Passage Alignment in Wikipediacited by 2
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Citing papers per year: 2023: 1.
1 paper.