With the wide use of internet, truthfulness verification becomes an important issue. In this thesis, we build WT-verifier, a truthfulness verification system based on Wikipedia. This system is adapted from T-verifier, an existing truthfulness verification system based on a large search engine. Our experimental results indicate that due to the differences between the quantities and qualities of the source pages from Wikipedia and Yahoo, the T-verifier approach cannot be directly applied to WT-verifier. We develop truthfulness aware snippet generation algorithm based on Wikipedia and use it to obtain better input for truthfulness verification. In addition, we develop a semantic dependency analysis approach to extract more relevant alternative units (alternative answers) by exploring the semantic structures of the doubtful statement. Our experimental results indicate that our approach significantly increases the precision and recall compared to the original T-verifier approach.
|School||STATE UNIVERSITY OF NEW YORK AT BINGHAMTON|
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