A Probabilistic Framework for Answer Selection in Question Answering

  title={A Probabilistic Framework for Answer Selection in Question Answering},
  author={Jeongwoo Ko and Luo Si and Eric Nyberg},
This paper describes a probabilistic answer selection framework for question answering. In contrast with previous work using individual resources such as ontologies and the Web to validate answer candidates, our work focuses on developing a unified framework that not only uses multiple resources for validating answer candidates, but also considers evidence of similarity among answer candidates in order to boost the ranking of the correct answer. This framework has been used to select answers… CONTINUE READING
Highly Cited
This paper has 55 citations. REVIEW CITATIONS
35 Citations
14 References
Similar Papers


Publications citing this paper.
Showing 1-10 of 35 extracted citations

55 Citations

Citations per Year
Semantic Scholar estimates that this publication has 55 citations based on the available data.

See our FAQ for additional information.

Similar Papers

Loading similar papers…