论文标题

Quotekg:引号的多语言知识图

QuoteKG: A Multilingual Knowledge Graph of Quotes

论文作者

Kuculo, Tin, Gottschalk, Simon, Demidova, Elena

论文摘要

公众人物的行情可以标记历史上的转折点。一句话可以解释其发起人的行为,预示政治或个人决定并揭示性格特征。有影响力的行情跨语言障碍并影响了总体对特定立场的反应,总是面临被误入或脱离上下文的风险。提供的引号的跨语性知识图是建立报价及其上下文的真实性,非常重要,对于从实际说的话的角度来看,允许探索重要人物的生活以及主题。在本文中,我们提出了Quotekg,这是引号的第一个多语言知识图。我们提出了Quotekg创建管道,该管道从Wikiquote中提取引号,这是一种免费且协作创建的语言集合,并与同一报价的不同提及相符。 Quotekg包括$ 55 $语言的近一百万报价,在广泛的主题中,有超过69,000美元的公共利益人士说。 quotekg已公开可用,可以通过SPARQL端点访问。

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.

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