@inproceedings{cerda-mardini-etal-2020-translating,
    title = "Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism",
    author = "Cerda-Mardini, Patricio  and
      Araujo, Vladimir  and
      Soto, {\'A}lvaro",
    editor = "Cunha, Rossana  and
      Shaikh, Samira  and
      Varis, Erika  and
      Georgi, Ryan  and
      Tsai, Alicia  and
      Anastasopoulos, Antonios  and
      Chandu, Khyathi Raghavi",
    booktitle = "Proceedings of the Fourth Widening Natural Language Processing Workshop",
    month = jul,
    year = "2020",
    address = "Seattle, USA",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/fix-sig-urls/2020.winlp-1.24/",
    doi = "10.18653/v1/2020.winlp-1.24",
    pages = "96--98",
    abstract = "We propose a multi-head attention mechanism as a blending layer in a neural network model that translates natural language to a high level behavioral language for indoor robot navigation. We follow the framework established by (Zang et al., 2018a) that proposes the use of a navigation graph as a knowledge base for the task. Our results show significant performance gains when translating instructions on previously unseen environments, therefore, improving the generalization capabilities of the model."
}