15
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Generating Dialogue Agents via Automated Planning

      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

          Dialogue systems have many applications such as customer support or question answering. Typically they have been limited to shallow single turn interactions. However more advanced applications such as career coaching or planning a trip require a much more complex multi-turn dialogue. Current limitations of conversational systems have made it difficult to support applications that require personalization, customization and context dependent interactions. We tackle this challenging problem by using domain-independent AI planning to automatically create dialogue plans, customized to guide a dialogue towards achieving a given goal. The input includes a library of atomic dialogue actions, an initial state of the dialogue, and a goal. Dialogue plans are plugged into a dialogue system capable to orchestrate their execution. Use cases demonstrate the viability of the approach. Our work on dialogue planning has been integrated into a product, and it is in the process of being deployed into another.

          Related collections

          Most cited references5

          • Record: found
          • Abstract: not found
          • Conference Proceedings: not found

          Towards End-to-End Reinforcement Learning of Dialogue Agents for Information Access

            Bookmark
            • Record: found
            • Abstract: not found
            • Book Chapter: not found

            Affective Dialogue Management Using Factored POMDPs

              Bookmark
              • Record: found
              • Abstract: not found
              • Conference Proceedings: not found

              Training a real-world POMDP-based dialogue system

                Bookmark

                Author and article information

                Journal
                02 February 2019
                Article
                1902.00771
                e37622a5-167f-4597-a3bf-f905b0edf888

                http://arxiv.org/licenses/nonexclusive-distrib/1.0/

                History
                Custom metadata
                Accepted at the AAAI-2019 DEEP-DIAL workshop
                cs.AI

                Artificial intelligence
                Artificial intelligence

                Comments

                Comment on this article