Lanbo She


2017

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Interactive Learning of Grounded Verb Semantics towards Human-Robot Communication
Lanbo She | Joyce Chai
Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

To enable human-robot communication and collaboration, previous works represent grounded verb semantics as the potential change of state to the physical world caused by these verbs. Grounded verb semantics are acquired mainly based on the parallel data of the use of a verb phrase and its corresponding sequences of primitive actions demonstrated by humans. The rich interaction between teachers and students that is considered important in learning new skills has not yet been explored. To address this limitation, this paper presents a new interactive learning approach that allows robots to proactively engage in interaction with human partners by asking good questions to learn models for grounded verb semantics. The proposed approach uses reinforcement learning to allow the robot to acquire an optimal policy for its question-asking behaviors by maximizing the long-term reward. Our empirical results have shown that the interactive learning approach leads to more reliable models for grounded verb semantics, especially in the noisy environment which is full of uncertainties. Compared to previous work, the models acquired from interactive learning result in a 48% to 145% performance gain when applied in new situations.

2016

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Incremental Acquisition of Verb Hypothesis Space towards Physical World Interaction
Lanbo She | Joyce Chai
Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

2014

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Back to the Blocks World: Learning New Actions through Situated Human-Robot Dialogue
Lanbo She | Shaohua Yang | Yu Cheng | Yunyi Jia | Joyce Chai | Ning Xi
Proceedings of the 15th Annual Meeting of the Special Interest Group on Discourse and Dialogue (SIGDIAL)

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Probabilistic Labeling for Efficient Referential Grounding based on Collaborative Discourse
Changsong Liu | Lanbo She | Rui Fang | Joyce Y. Chai
Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

2013

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Towards Situated Dialogue: Revisiting Referring Expression Generation
Rui Fang | Changsong Liu | Lanbo She | Joyce Y. Chai
Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing

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Modeling Collaborative Referring for Situated Referential Grounding
Changsong Liu | Rui Fang | Lanbo She | Joyce Chai
Proceedings of the SIGDIAL 2013 Conference