资源论文Grounded Language Learning: Where Robotics and NLP Meet* Cynthia Matuszek

Grounded Language Learning: Where Robotics and NLP Meet* Cynthia Matuszek

2019-11-07 | |  166 |   98 |   0
Abstract Grounded language acquisition is concerned with learning the meaning of language as it applies to the physical world. As robots become more capable and ubiquitous, there is an increasing need for non-specialists to interact with and control them, and natural language is an intuitive, flexible, and customizable mechanism for such communication. At the same time, physically embodied agents offer a way to learn to understand natural language in the context of the world to which it refers. This paper gives an overview of the research area, selected recent advances, and some future directions and challenges that remain.

上一篇:Distributional Correspondence Indexing for Cross-Lingual and Cross-Domain Sentiment Classification (Extended Abstract)?

下一篇:Using Contextual Bandits with Behavioral Constraints for Constrained Online Movie Recommendation

用户评价
全部评价

热门资源

  • Deep Cross-media ...

    Cross-media retrieval is a research hotspot in ...

  • Regularizing RNNs...

    Recently, caption generation with an encoder-de...

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Visual Reinforcem...

    For an autonomous agent to fulfill a wide range...

  • Joint Pose and Ex...

    Facial expression recognition (FER) is a challe...