Improving Object Disambiguation from Natural Language using Empirical Models-Reference-Cited by-同舟云学术

Improving Object Disambiguation from Natural Language using Empirical Models

Published:2018-10-02 Issue: Volume: Page:
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Container-title:Proceedings of the 20th ACM International Conference on Multimodal Interaction
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Author:

Prendergast Daniel¹,Szafir Daniel¹

Affiliation:

1. University of Colorado Boulder, Boulder, CO, USA

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3242969.3243025

Reference23 articles.

1. Michael J Barclay. 2010. Reference Object Choice in Spatial Language: Machine and Human Models . Ph.D. Dissertation. University of Exeter Exeter Devon UK. Michael J Barclay. 2010. Reference Object Choice in Spatial Language: Machine and Human Models . Ph.D. Dissertation. University of Exeter Exeter Devon UK.

2. Tracking the time course of multidimensional stimulus discrimination: Analyses of viewing patterns and processing times during “same”-“different“ decisions

3. “Put-that-there”

4. Amazon's Mechanical Turk

5. Using Spatial Semantic and Pragmatic Fields to Interpret Natural Language Pick-and-Place Instructions for a Mobile Service Robot

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