FADA: find all distinct answers

ABSTRACT

The wealth of information available on the web makes it an attractive resource for seeking quick answers. While web-based question answering becomes an emerging topic in recent years, the problem of efficiently locating a complete set of distinct answers on the Web is far from being solved. We introduce our system, FADA, which relies on question event analysis, web page clustering, and natural language parsing, to find reliable distinct answers with high recall. The method has been found to be effective in strengthening state-of-the-art Web question answering techniques by emphasizing on answer completeness and uniqueness.

REFERENCES

• 1: S. Harabagiu, D. Moldovan, C. Clark, M. Bowden, J. Williams, J. Bensley, "Answer Mining by Combining Extraction Techniques with Abductive Reasoning," In notebook of the 12th Text REtrieval Conference, 46--53.
• 2: Cody C. T. Kwok , Oren Etzioni , Daniel S. Weld, Scaling question answering to the Web, Proceedings of the 10th international conference on World Wide Web, p.150-161, May 01-05, 2001, Hong Kong, Hong Kong [doi>10.1145/371920.371973]
• 3: J. Ross Quinlan, C4.5: programs for machine learning, Morgan Kaufmann Publishers Inc., San Francisco, CA, 1993
• 4: Dragomir R. Radev , Hong Qi , Zhiping Zheng , Sasha Blair-Goldensohn , Zhu Zhang , Weiguo Fan , John Prager, Mining the web for answers to natural language questions, Proceedings of the tenth international conference on Information and knowledge management, October 05-10, 2001, Atlanta, Georgia, USA [doi>10.1145/502585.502610]
• 5: E. M. Voorhees. 2003. "Overview of the TREC 2003 Question Answering Track." In notebook of the 12th Text REtrieval Conference, 14--27.

INDEX TERMS

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

General Terms:
Algorithms, Experimentation, Performance

Keywords:
question answering, web page classification