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Ranking Triples using Entity Links in a Large Web Crawl - The Chicory Triple Scorer at WSDM Cup 2017
December 22, 2017 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Frank Dorssers, Arjen P. de Vries, Wouter Alink, Roberto Cornacchia
arXiv ID
1712.08355
Category
cs.IR: Information Retrieval
Citations
4
Venue
arXiv.org
Last Checked
4 months ago
Abstract
This paper describes the participation of team Chicory in the Triple Ranking Challenge of the WSDM Cup 2017. Our approach deploys a large collection of entity tagged web data to estimate the correctness of the relevance relation expressed by the triples, in combination with a baseline approach using Wikipedia abstracts following [1]. Relevance estimations are drawn from ClueWeb12 annotated by Google's entity linker, available publicly as the FACC1 dataset. Our implementation is automatically generated from a so-called 'search strategy' that specifies declaratively how the input data are combined into a final ranking of triples.
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