Verification of Fact Statements with Multiple Truthful Alternatives

When people are not sure about certain facts, they tend to use the Web to find the answers. Two problems make finding correct answers from the Web challenging. First, the Web contains a significant amount of untruthful information. Second, currently there is a lack of systems/tools that can verify the truthfulness or untruthfulness of a random fact statement and also provide alternative answers. In this paper, we propose a method that aims to determine whether a given statement is truthful and to identify alternative truthful statements that are highly relevant to the given statement. Existing solutions consider only statements with a single expected correct answer. In this paper, we focus on statements that may have multiple relevant alternative answers. We first present a straightforward extension to the previous method to solve such type of statements and show that such a simple extension is inadequate. We then present solutions to two types of such statements. Our evaluation indicates that our proposed solutions are very effective.