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An Empirical Study on the Generalization Power of Neural Representations Learned via Visual Guessing Games ...
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Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
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Imagining Grounded Conceptual Representations from Perceptual Information in Situated Guessing Games ...
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CompGuessWhat?!: A Multi-task Evaluation Framework for Grounded Language Learning ...
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The BURCHAK corpus: a Challenge Data Set for Interactive Learning of Visually Grounded Word Meanings ...
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Bootstrapping incremental dialogue systems from minimal data: the generalisation power of dialogue grammars ...
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Evaluating persuasion strategies and deep reinforcement learning methods for negotiation dialogue agents
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Automatic annotation of context and speech acts for dialogue corpora
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Natural Language Generation enhances human decision-making with uncertain information ...
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Bootstrapping incremental dialogue systems: using linguistic knowledge to learn from minimal data ...
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A Game-Based Setup for Data Collection and Task-Based Evaluation of Uncertain Information Presentation
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Comparing Multi-label Classification with Reinforcement Learning for Summarisation of Time-series Data
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Generating student feedback from time-series data using Reinforcement Learning
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Evaluating a city exploration dialogue system combining question-answering and pedestrian navigation
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Lemon, Oliver; Janarthanam, Srini; Webber, Bonnie; Dickinson, Anna; Liu, Xingkun; Bartie, Phil; Mackaness, William; Dalmas, Tiphaine. - : The Association for Computational Linguistics (ACL), 2013. : Stroudsburg, PA, USA, 2013
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Abstract:
We present a city navigation and tourist information mobile dialogue app with integrated question-answering (QA) and geographic information system (GIS) modules that helps pedestrian users to navigate in and learn about urban environments. In contrast to existing mobile apps which treat these problems independently, our Android app addresses the problem of navigation and touristic question-answering in an integrated fashion using a shared dialogue context. We evaluated our system in comparison with Samsung S-Voice (which interfaces to Google navigation and Google search) with 17 users and found that users judged our system to be significantly more interesting to interact with and learn from. They also rated our system above Google search (with the Samsung S-Voice interface) for tourist information tasks.
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URL: http://hdl.handle.net/1893/21262 http://dspace.stir.ac.uk/bitstream/1893/21262/1/ACL-13-2.pdf https://www.aclweb.org/anthology/P/P13/P13-1000.pdf
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