Blog
About

0
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Interactive Classification by Asking Informative Questions

      Preprint

      , , , ,

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Natural language systems often rely on a single, potentially ambiguous input to make one final prediction, which may simplify the problem but degrade end user experience. Instead of making predictions with the natural language query only, we ask the user for additional information using a small number of binary and multiple-choice questions in order to better help users accomplish their goals while minimizing their effort. At each turn, our system decides between asking the most informative question or making the final classification prediction. Our approach enables bootstrapping the system using simple crowdsourcing annotations without expensive human-to-human interaction data. Evaluation demonstrates that our method substantially increases classification accuracy, while effectively balancing the number of questions with the improvement to final accuracy.

          Related collections

          Most cited references 18

          • Record: found
          • Abstract: not found
          • Article: not found

          The Probabilistic Relevance Framework: BM25 and Beyond

            Bookmark
            • Record: found
            • Abstract: not found
            • Article: not found

            Understanding user goals in web search

              Bookmark
              • Record: found
              • Abstract: not found
              • Article: not found

              An iterative design methodology for user-friendly natural language office information applications

               J. F. Kelley (1984)
                Bookmark

                Author and article information

                Journal
                08 November 2019
                Article
                1911.03598

                http://creativecommons.org/licenses/by/4.0/

                Custom metadata
                cs.CL cs.HC cs.IR cs.LG

                Comments

                Comment on this article