Semantic verification for fact seeking engines

ABSTRACT

We present the architecture of our web question answering (fact seeking) system and introduce a novel algorithm to validate semantic categories of the expected answers. When tested on the questions used by the prior research, our system demonstrated the performance comparable to the current state of the art systems. Our semantic verification algorithm has improved the accuracy of answers of the affected questions by 30%.

REFERENCES

• 1: Susan Dumais , Michele Banko , Eric Brill , Jimmy Lin , Andrew Ng, Web question answering: is more always better?, Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval, August 11-15, 2002, Tampere, Finland [doi>10.1145/564376.564428]
• 2: Roussinov, D. and Robles, J., Ding, Y., Experiments with Web QA System and TREC2004 Questions. In the proceedings of 2004 TREC conference. November 16-19, 2004, Gaithersburg, MD.
• 3: Voorhees, E. and Buckland, L.P., Eds. (2004). Proceedings of the Eleventh Text Retrieval Conference TREC 2004. Gaithersburg, Maryland, November 16-19

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Query formulation

Additional Classification:
  H. Information Systems
  H.3 INFORMATION STORAGE AND RETRIEVAL
      H.3.3 Information Search and Retrieval
          Subjects: Search process

General Terms:
Algorithms, Experimentation

Keywords:
automated question answering, internet, world wide web