Verifying textual claims with a document corpus

A computer-implemented method for verifying textual claims using a document corpus, comprising:

• retrieving, by a processor device, documents from the document corpus based on Term Frequency Inverse Document Frequency (TFIDF) similarity to a set of textual claims;
• extracting, by the processor device, named entities and capitalized phrases from the textual claims;
• retrieving, by the processor device, documents from the document corpus with titles matching any of the extracted named entities and capitalized phrases;
• extracting, by the processor device, premise sentences from the retrieved documents;
• classifying, by the processor device, the premise sentences together with sources of the premises sentences against the textual claims to obtain classifications from among possible classifications including a supported classification, an unverified classification, or a contradicted classification;
• and
• aggregating, by the processor device, the classifications over the premise sentences to selectively output, for each of the textual claims, an overall decision of the supported classification, the unverified classification, or the contradicted classification.

A computer program product for verifying textual claims using a document corpus, the computer program product comprising a non-transitory computer readable storage medium having program instructions embodied therewith, the program instructions executable by a computer to cause the computer to perform a method comprising:

• retrieving, by a processor device, documents from the document corpus based on Term Frequency Inverse Document Frequency (TFIDF) similarity to a set of textual claims;
• extracting, by the processor device, named entities and capitalized phrases from the textual claims;
• retrieving, by the processor device, documents from the document corpus with titles matching any of the extracted named entities and capitalized phrases;
• extracting, by the processor device, premise sentences from the retrieved documents;
• classifying, by the processor device, the premise sentences together with sources of the premises sentences against the textual claims to obtain classifications from among possible classifications including a supported classification, an unverified classification, or a contradicted classification;
• and
• aggregating, by the processor device, the classifications over the premise sentences to selectively output, for each of the textual claims, an overall decision of the supported classification, the unverified classification, or the contradicted classification.