@inproceedings{weissenborn-etal-2018-jack,
    title = "Jack the Reader {--} A Machine Reading Framework",
    author = {Weissenborn, Dirk  and
      Minervini, Pasquale  and
      Augenstein, Isabelle  and
      Welbl, Johannes  and
      Rockt{\"a}schel, Tim  and
      Bo{\v{s}}njak, Matko  and
      Mitchell, Jeff  and
      Demeester, Thomas  and
      Dettmers, Tim  and
      Stenetorp, Pontus  and
      Riedel, Sebastian},
    booktitle = "Proceedings of {ACL} 2018, System Demonstrations",
    month = jul,
    year = "2018",
    address = "Melbourne, Australia",
    publisher = "Association for Computational Linguistics",
    url = "https://aclanthology.org/P18-4005",
    doi = "10.18653/v1/P18-4005",
    pages = "25--30",
    abstract = "Many Machine Reading and Natural Language Understanding tasks require reading supporting text in order to answer questions. For example, in Question Answering, the supporting text can be newswire or Wikipedia articles; in Natural Language Inference, premises can be seen as the supporting text and hypotheses as questions. Providing a set of useful primitives operating in a single framework of related tasks would allow for expressive modelling, and easier model comparison and replication. To that end, we present Jack the Reader (JACK), a framework for Machine Reading that allows for quick model prototyping by component reuse, evaluation of new models on existing datasets as well as integrating new datasets and applying them on a growing set of implemented baseline models. JACK is currently supporting (but not limited to) three tasks: Question Answering, Natural Language Inference, and Link Prediction. It is developed with the aim of increasing research efficiency and code reuse.",
}