Paper Info
Title
Verification Of Fact Statements With Multiple Truthful Alternatives
Abstract
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.
Year
DOI
Venue
2016
10.5220/0005781800870097
PROCEEDINGS OF THE 12TH INTERNATIONAL CONFERENCE ON WEB INFORMATION SYSTEMS AND TECHNOLOGIES, VOL 2 (WEBIST)
Keywords
Field
DocType
Web Text Mining, Truth Finding
Data mining,Computer science
Conference
Citations 
PageRank 
References 
4
0.38
0
Authors
3
Name
Order
Citations
PageRank
Xian Li140.38
Weiyi Meng22722514.77
Clement T. Yu331711419.96