# QuoteKG: A Multilingual Knowledge Graph of Quotes

arXiv: https://arxiv.org/abs/2207.09562 · HTML: https://mlsanity.com/paper/2207.09562/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- Builds on 13 of its 37 references that are in the map.
- First posted on arXiv 19 Jul 2022.

## Builds on (most cited first, 13 of 13)

- [Unsupervised Cross-lingual Representation Learning at Scale](https://mlsanity.com/paper/1911.02116/) (2019)
- [XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization](https://mlsanity.com/paper/2003.11080/) (2020)
- [XGLUE: A New Benchmark Dataset for Cross-lingual Pre-training, Understanding and Generation](https://mlsanity.com/paper/2004.01401/) (2020)
- [Automated Fact Checking: Task formulations, methods and future directions](https://mlsanity.com/paper/1806.07687/) (2018)
- [Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces](https://mlsanity.com/paper/1805.07467/) (2018)
- [EventKG - the Hub of Event Knowledge on the Web - and Biographical Timeline Generation](https://mlsanity.com/paper/1905.08794/) (2019)
- [BiPaR: A Bilingual Parallel Dataset for Multilingual and Cross-lingual Reading Comprehension on Novels](https://mlsanity.com/paper/1910.05040/) (2019)
- [Measuring Information Propagation in Literary Social Networks](https://mlsanity.com/paper/2004.13980/) (2020)
- [QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns](https://mlsanity.com/paper/1504.01383/) (2015)
- [EventKG+BT: Generation of Interactive Biography Timelines from a Knowledge Graph](https://mlsanity.com/paper/2012.06306/) (2020)
- [TimeMachine: Timeline Generation for Knowledge-Base Entities](https://mlsanity.com/paper/1502.04662/) (2015)
- [MultiWiki: Interlingual Text Passage Alignment in Wikipedia](https://mlsanity.com/paper/1905.08675/) (2019)
- [A Talker Ensemble: the University of Wroclaw's Entry to the NIPS 2017 Conversational Intelligence Challenge](https://mlsanity.com/paper/1805.08032/) (2018)

## Built on by (most cited first, 1 of 1)

- [Comprehensive Event Representations using Event Knowledge Graphs and Natural Language Processing](https://mlsanity.com/paper/2303.04794/) (2023)

## 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.