SlowGuess/ACL_2020_OCR huggingface dataset:
Gerard Steen. 2010. A method for linguistic metaphor identification: From MIP to MIPVU, volume 14. John Benjamins Publishing.
GJ Steen, LJ Cameron, AJ Cienki, P Crisp, A Deignan, W Raymond jr, J Grady, Z Kövecses, GD Low, and E Semino. 2007. Mip: A method for identifying metaphorically used words in discourse. Metaphor and Symbol, 22(1):1-39.
Shiva Taslimipoor and Omid Rohanian. 2018. SHOMA at parsemeshared task on automatic identification of VMWEs: Neural multiword expression tagging with high generalisation. arXiv preprint arXiv:1809.03056.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017. Attention is all you need. In Advances in neural information processing systems, pages 5998-6008.
Petar Velicković, Guillem Cucurull, Arantxa Casanova, Adriana Romero, Pietro Lio, and Yoshua Bengio. 2017. Graph attention networks. arXiv preprint arXiv:1710.10903.
Mila Vulchanova, Evelyn Milburn, Valentin Vulchanov, and Giosue Baggio. 2019. Boon or burden? the role of compositional meaning in figurative language processing and acquisition. Journal of Logic, Language and Information, 28(2):359-387.
Jakub Waszczuk, Rafael Ehren, Regina Stodden, and Laura Kallmeyer. 2019. A neural graph-based approach to verbal MWE identification. In Proceedings of the Joint Workshop on Multiword Expressions and WordNet (MWE-WN 2019), pages 114-124, Florence, Italy. Association for Computational Linguistics.
Yorick Wilks. 1978. Making preferences more active. Artificial intelligence, 11(3):197-223.
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumont, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, R'emi Louf, Morgan Funtowicz, and Jamie Brew. 2019. Huggingface's transformers: State-of-the-art natural language processing. ArXiv, abs/1910.03771.