@inproceedings{jayannavar-etal-2020-learning,
    title = "Learning to execute instructions in a {M}inecraft dialogue",
    author = "Jayannavar, Prashant  and
      Narayan-Chen, Anjali  and
      Hockenmaier, Julia",
    editor = "Jurafsky, Dan  and
      Chai, Joyce  and
      Schluter, Natalie  and
      Tetreault, Joel",
    booktitle = "Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics",
    month = jul,
    year = "2020",
    address = "Online",
    publisher = "Association for Computational Linguistics",
    url = "https://preview.aclanthology.org/jlcl-multiple-ingestion/2020.acl-main.232/",
    doi = "10.18653/v1/2020.acl-main.232",
    pages = "2589--2602",
    abstract = "The Minecraft Collaborative Building Task is a two-player game in which an Architect (A) instructs a Builder (B) to construct a target structure in a simulated Blocks World Environment. We define the subtask of predicting correct action sequences (block placements and removals) in a given game context, and show that capturing B`s past actions as well as B`s perspective leads to a significant improvement in performance on this challenging language understanding problem."
}