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coref-data/mwsc_raw

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The declared licence (cc-by-4.0) is classified as permissive.

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cc-by-4.0, from the tagEvidence: README.md at 3b1e210
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Citation text from the card

@inproceedings{10.5555/3031843.3031909,
  author = {Levesque, Hector J. and Davis, Ernest and Morgenstern, Leora},
  title = {The Winograd Schema Challenge},
  year = {2012},
  isbn = {9781577355601},
  publisher = {AAAI Press},
  abstract = {In this paper, we present an alternative to the Turing Test that has some conceptual and practical advantages. A Wino-grad schema is a pair of sentences that differ only in one or two words and that contain a referential ambiguity that is resolved in opposite directions in the two sentences. We have compiled a collection of Winograd schemas, designed so that the correct answer is obvious to the human reader, but cannot easily be found using selectional restrictions or statistical techniques over text corpora. A contestant in the Winograd Schema Challenge is presented with a collection of one sentence from each pair, and required to achieve human-level accuracy in choosing the correct disambiguation.},
  booktitle = {Proceedings of the Thirteenth International Conference on Principles of Knowledge Representation and Reasoning},
  pages = {552–561},
  numpages = {10},
  location = {Rome, Italy},
  series = {KR'12}
}

@article{McCann2018decaNLP,
  title={The Natural Language Decathlon: Multitask Learning as Question Answering},
  author={Bryan McCann and Nitish Shirish Keskar and Caiming Xiong and Richard Socher},
  journal={arXiv preprint arXiv:1806.08730},
  year={2018}
}

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dataset_licence({ "id": "coref-data/mwsc_raw" })
signal: "permissive"
stated_licence: "cc-by-4.0"
sources: 0