Extracting statistical mentions from textual claims to provide trusted content
Abstract
Claims on statistic (numerical) data, e.g., immigrant populations , are often fact-checked. We present a novel approach to extract from text documents, e.g., online media articles, mentions of statistic entities from a reference source. A claim states that an entity has certain value, at a certain time. This completes a fact-checking pipeline from text, to the reference data closest to the claim. We evaluated our method on the INSEE dataset and show that it is efficient and effective.
Domains
Computer Science [cs]| Origin | Files produced by the author(s) |
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