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Abstract
We propose the use of a generative model
to simulate user behaviour in a novel task-oriented dialog domain, where user goals
are spatial routes across artificial landscapes. We show how to derive an efficient feature-based representation of spatial goals, admitting exact inference and
generalising to new routes. The use of
a generative model allows us to capture
a range of plausible behaviour given the
same underlying goal. We evaluate intrinsically using held-out probability and perplexity, and find a substantial reduction in
uncertainty brought by our spatial representation. We evaluate extrinsically in a
human judgement task and find that our
model’s behaviour does not differ significantly from the behaviour of real users.
Original language | English |
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Title of host publication | Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics |
Place of Publication | Gothenburg, Sweden |
Publisher | Association for Computational Linguistics |
Pages | 626-635 |
Number of pages | 10 |
Publication status | Published - 1 Apr 2014 |
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Dive into the research topics of 'A Generative Model for User Simulation in a Spatial Navigation Domain'. Together they form a unique fingerprint.Projects
- 2 Finished
-
Xperience - 'Robotes Bootstrapped through Learning from Experience'
Steedman, M., Geib, C. & Petrick, R.
1/01/10 → 31/12/15
Project: Research