IROS 2015 Paper Abstract


Paper ThAP.27

Williams, Tom (Tufts University), Schreitter, Stephanie (Austrian Research Institute for Artificial Intelligence), Acharya, Saurav (Tufts University), Scheutz, Matthias (Tufts University)

Towards Situated Open-World Reference Resolution

Scheduled for presentation during the Poster session "Late Breaking Posters" (ThAP), Thursday, October 1, 2015, 09:45−10:00, Saal G1

2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, Sept 28 - Oct 03, 2015, Congress Center Hamburg, Hamburg, Germany

This information is tentative and subject to change. Compiled on July 19, 2019

Keywords Human-Robot Interaction


Natural language dialogue provides the opportunity for truly natural human-robot interaction (HRI). A robot participating in natural language dialogue must identify or create new representations for referenced entities if it is to discuss, reason about, or perform actions involving that entity, a capability known as reference resolution. In previous work we presented algorithms for resolving references occurring in definite noun phrases. Those algorithms were designed to handle open worlds and uncertain contexts because such contexts are commonplace in HRI scenarios.

We propose an algorithm for resolving references in a wider array of linguistic forms, including indefinite noun phrases and pronominal expressions. The proposed algorithm uses the Givenness Hierarchy (GH), a linguistic framework which associates the form of a referential expression (e.g., whether a pronominal, definite noun phrase or indefinite noun phrase is used) with a presumed "cognitive status" (e.g., focus of attention, or long term memory) of that expression's referents. Other researchers have proposed reference resolution algorithms using portions of the GH, but to the best of our knowledge our algorithm is the first to implement the GH in its entirety. Our algorithm also improves on previous algorithms through its ability to handle open-world and uncertain contexts, and has been fully integrated into the DIARC robotic architecture.



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