Building Effective Question Answering Characters


In this paper, we describe methods for building and evaluation of limited domain question-answering characters. Several classification techniques are tested, including text classification using support vector machines, language-model based retrieval, and cross-language information retrieval techniques, with the latter having the highest success rate. We… (More)

5 Figures and Tables



Citations per Year

134 Citations

Semantic Scholar estimates that this publication has 134 citations based on the available data.

See our FAQ for additional information.

  • Presentations referencing similar topics