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Current NLP datasets targeting ambiguity can be solved by a native speaker with relative ease.
Computer assisted analysis of cryptic crosswords
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George A. Miller. 1995 · 1995
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Using the bnc to produce dialectic cryptic crossword clues
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A probabilistic approach to solving crossword puzzles
Michael L Littman, Greg A Keim, and Noam Shazeer. 2002 · 2002
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Webcrow: A web-based system for crossword solving
Marco Ernandes, Giovanni Angelini, and Marco Gori. 2005 · 2005
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Riddle posed by computer (6): the computer generation of cryptic crossword clues
David Hardcastle. 2007 · 2007
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The winograd schema challenge
H. Levesque, E. Davis, and L. Morgenstern. 2011 · 2011
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Learning to rank answer candidates for automatic resolution of crossword puzzles
Gianni Barlacchi, Massimo Nicosia, and Alessandro Moschitti. 2014 · 2014
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Automatic disambiguation of English puns
Tristan Miller and Iryna Gurevych. 2015 · 2015
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Distributional neural networks for automatic resolution of crossword puzzles
Aliaksei Severyn, Massimo Nicosia, Gianni Barlacchi, and Alessandro Moschitti. 2015 · 2015
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The grounded expertise components approach in the novel area of cryptic crossword solving
Kathryn J. Friedlander and Philip A. Fine. 2016 · 2016
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Automatic sarcasm detection: A survey
Aditya Joshi, Pushpak Bhattacharyya, and Mark J. Carman. 2017 · 2017
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SemEval-2017 task 7: Detection and interpretation of English puns
Tristan Miller, Christian Hempelmann, and Iryna Gurevych. 2017 · 2017
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Word sense disambiguation: A unified evaluation framework and empirical comparison
Alessandro Raganato, Jose Camacho-Collados, and Roberto Navigli. 2017 · 2017
How to Crack Cryptic Crosswords
Tim Moorey. 2018 · 2018
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Adafactor: Adaptive learning rates with sublinear memory cost
Noam Shazeer and Mitchell Stern. 2018 · 2018
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Are we modeling the task or the annotator? an investigation of annotator bias in natural language understanding datasets
Mor Geva, Yoav Goldberg, and Jonathan Berant. 2019 · 2019
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Question and answer test-train overlap in open-domain question answering datasets
Patrick Lewis, Pontus Stenetorp, and Sebastian Riedel. 2020 · 2020
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iSarcasm: A dataset of intended sarcasm
Silviu Oprea and Walid Magdy. 2020 · 2020
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Exploring the limits of transfer learning with a unified text-to-text transformer
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“the penny drops”: Investigating insight through the medium of cryptic crosswords
Kathryn J. Friedlander and Philip A. Fine. 2018 · 2018
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Annotation artifacts in natural language inference data
Suchin Gururangan, Swabha Swayamdipta, Omer Levy, Roy Schwartz, Samuel Bowman, and Noah A. Smith. 2018 · 2018
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SentencePiece: A simple and language independent subword tokenizer and detokenizer for neural text processing
Taku Kudo and John Richardson. 2018 · 2018
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Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 2020
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Winogrande: An adversarial winograd schema challenge at scale
Keisuke Sakaguchi, Ronan Le Bras, Chandra Bhagavatula, and Yejin Choi. 2020 · 2020
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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rdeits/crypticcrosswords.jl: v0.1.1
Robin Deits. 2021 · 2021
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