@inproceedings{willemsen-etal-2018-context,
    title = "Context-sensitive Natural Language Generation for robot-assisted second language tutoring",
    author = "Willemsen, Bram  and
      de Wit, Jan  and
      Krahmer, Emiel  and
      de Haas, Mirjam  and
      Vogt, Paul",
    editor = "Foster, Mary Ellen  and
      Buschmeier, Hendrik  and
      Gkatzia, Dimitra",
    booktitle = "Proceedings of the Workshop on {NLG} for Human--Robot Interaction",
    month = nov,
    year = "2018",
    address = "Tilburg, The Netherlands",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/build-pipeline-with-new-library/W18-6901/",
    doi = "10.18653/v1/W18-6901",
    pages = "1--7",
    abstract = "This paper describes the L2TOR intelligent tutoring system (ITS), focusing primarily on its output generation module. The L2TOR ITS is developed for the purpose of investigating the efficacy of robot-assisted second language tutoring in early childhood. We explain the process of generating contextually-relevant utterances, such as task-specific feedback messages, and discuss challenges regarding multimodality and multilingualism for situated natural language generation from a robot tutoring perspective."
}