Finding Distinct Answers in Web Snippets

Alejandro Figueroa; Günter Neumann

In: In the 4th International Conference on Web Information Systems and Technologies. International Conference on Web Information Systems and Technologies (WEBIST-2008), Funchal, Madeira, Portugal, Pages 26-33, ISBN 978-989-8111-27-2, INSTICC Press, 5/2008.


This paper presents ListWebQA, a question answering system aimed specifically at discovering answers to list questions in web snippets. ListWebQA retrieves snippets likely to contain answers by means of a query rewriting strategy, and extracts answers according to their syntactic and semantic similarities afterwards. These similarities are determined by means of a set of surface syntactic patterns and a Latent Semantic Kernel. Results show that our strategy is effective in strengthening current web question answering techniques.

WebInst_v4.pdf (pdf, 93 KB )

Deutsches Forschungszentrum für Künstliche Intelligenz
German Research Center for Artificial Intelligence