@InProceedings{weissenborn-EtAl:2018:Demos,
  author    = {Weissenborn, Dirk  and  Minervini, Pasquale  and  Augenstein, Isabelle  and  Welbl, Johannes  and  Rocktäschel, Tim  and  Bosnjak, Matko  and  Mitchell, Jeff  and  Demeester, Thomas  and  Dettmers, Tim  and  Stenetorp, Pontus  and  Riedel, Sebastian},
  title     = {Jack the Reader -- A Machine Reading Framework},
  booktitle = {Proceedings of ACL 2018, System Demonstrations},
  month     = {July},
  year      = {2018},
  address   = {Melbourne, Australia},
  publisher = {Association for Computational Linguistics},
  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.},
  url       = {http://www.aclweb.org/anthology/P18-4005}
}