SlowGuess/NAACL_2021_OCR huggingface dataset:
of the First Workshop on Commonsense Inference in Natural Language Processing, pages 130-135, Hong Kong, China. Association for Computational Linguistics.
David Graff, Junbo Kong, Ke Chen, and Kazuaki Maeda. 2003. English gigaword. Linguistic Data Consortium, Philadelphia, 4(1):34.
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt. 2021. Measuring mathematical problem solving with the math dataset. arXiv preprint arXiv:2103.03874.
Chengyue Jiang, Zhonglin Nian, Kaihao Guo, Shanbo Chu, Yinggong Zhao, Libin Shen, and Kewei Tu. 2020. Learning numeral embedding. In *Findings of the Association for Computational Linguistics: EMNLP* 2020, pages 2586-2599, Online. Association for Computational Linguistics.
Devin Johnson, Denise Mak, Andrew Barker, and Lexi Loessberg-Zahl. 2020. Probing for multilingual numerical understanding in transformer-based language models. In Proceedings of the Third BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP, pages 184-192, Online. Association for Computational Linguistics.
Katherine D Kinzler and Elizabeth S Spelke. 2007. Core systems in human cognition. Progress in brain research, 164:257-264.
Teuvo Kohonen. 1990. The self-organizing map. Proceedings of the IEEE, 78(9):1464-1480.
Bill Yuchen Lin, Seyeon Lee, Rahul Khanna, and Xi-ang Ren. 2020. Birds have four legs?! NumerSense: Probing Numerical Commonsense Knowledge of Pre-Trained Language Models. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 6862-6868, Online. Association for Computational Linguistics.
Richard Diehl Martinez, Scott Novotney, Ivan Bulyko, Ariya Rastrow, and Andreas Stolcke. 2020. Contextual datetime language model adaptation for speech recognition. West Coast NLP Summit.
Tomas Mikolov, Kai Chen, Greg Corrado, and Jeffrey Dean. 2013. Efficient estimation of word representations in vector space. arXiv preprint arXiv:1301.3781.
George A Miller. 1995. Wordnet: a lexical database for english. Communications of the ACM, 38(11):39-41.
Swaroop Mishra, Arindam Mitra, Neeraj Varshney, Bhavdeep Sachdeva, and Chitta Baral. 2020. Towards question format independent numerical reasoning: A set of prerequisite tasks.
Aakanksha Naik, Abhilasha Ravichander, Carolyn Rose, and Eduard Hovy. 2019. Exploring numeracy in word embeddings. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 3374-3380, Florence, Italy. Association for Computational Linguistics.
Mikhail Nefedov. 2020. Dataset for evaluation of mathematical reasoning abilities in russian. In _Conference on Artificial Intelligence and Natural Language_, pages 135-144. Springer.
Rodrigo Nogueira, Zhiying Jiang, and Jimmy Li. 2021. Investigating the limitations of the transformers with simple arithmetic tasks. arXiv preprint arXiv:2102.13019.
Arkil Patel, Satwik Bhattachamishra, and Navin Goyal. 2021. Are nlp models really able to solve simple math word problems?
Jeffrey Pennington, Richard Socher, and Christopher Manning. 2014. GloVe: Global vectors for word representation. In Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 1532-1543, Doha, Qatar. Association for Computational Linguistics.
Matthew Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018. Deep contextualized word representations. In Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long Papers), pages 2227-2237, New Orleans, Louisiana. Association for Computational Linguistics.
Marten Postma, Filip Ilievski, and Piek Vossen. 2018. SemEval-2018 task 5: Counting events and participants in the long tail. In Proceedings of The 12th International Workshop on Semantic Evaluation, pages 70–80, New Orleans, Louisiana. Association for Computational Linguistics.
Ofir Press and Lior Wolf. 2016. Using the output embedding to improve language models. arXiv preprint arXiv:1608.05859.
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016. SQuAD: 100,000+ questions for machine comprehension of text. In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing, pages 2383-2392, Austin, Texas. Association for Computational Linguistics.
Qiu Ran, Yankai Lin, Peng Li, Jie Zhou, and Zhiyuan Liu. 2019. NumNet: Machine reading comprehension with numerical reasoning. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 2474-2484, Hong Kong, China. Association for Computational Linguistics.
Abhilasha Ravichander, Aakanksha Naik, Carolyn Rose, and Eduard Hovy. 2019. EQUATE: A benchmark evaluation framework for quantitative reasoning in natural language inference. In Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL), pages 349-361, Hong Kong, China. Association for Computational Linguistics.
Subhro Roy and Dan Roth. 2015. Solving general arithmetic word problems. In Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pages 1743-1752, Lisbon, Portugal. Association for Computational Linguistics.
Subhro Roy, Tim Vieira, and Dan Roth. 2015. Reasoning about quantities in natural language. Transactions of the Association for Computational Linguistics, 3:1-13.
David Saxton, Edward Grefenstette, Felix Hill, and Pushmeet Kohli. 2019. Analysing mathematical reasoning abilities of neural models. In International Conference on Learning Representations.
Rico Sennrich, Barry Haddow, and Alexandra Birch. 2016. Neural machine translation of rare words with subword units. In Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 1715-1725, Berlin, Germany. Association for Computational Linguistics.
Rebecca Sharp, Mithun Paul, Ajay Nagesh, Dane Bell, and Mihai Surdeanu. 2018. Grounding gradable adjectives through crowdsourcing. In Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018), Miyazaki, Japan. European Language Resources Association (ELRA).
Georgios Spithourakis and Sebastian Riedel. 2018. Numeracy for language models: Evaluating and improving their ability to predict numbers. In Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2104-2115, Melbourne, Australia. Association for Computational Linguistics.
Daniel Spokoyny and Taylor Berg-Kirkpatrick. 2020. An empirical investigation of contextualized number prediction. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4754-4764, Online. Association for Computational Linguistics.
Dhanasekar Sundararaman, Shijing Si, Vivek Subramanian, Guoyin Wang, Devamanyu Hazarika, and Lawrence Carin. 2020. Methods for numeracy-preserving word embeddings. In Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP), pages 4742-4753, Online. Association for Computational Linguistics.
Mirac Suzgun, Yonatan Belinkov, Stuart Shieber, and Sebastian Gehrmann. 2019. LSTM networks can perform dynamic counting. In Proceedings of the Workshop on Deep Learning and Formal Languages: Building Bridges, pages 44-54, Florence. Association for Computational Linguistics.
Oyvind Tafjord, Peter Clark, Matt Gardner, Wen-tau Yih, and Ashish Sabharwal. 2019. Quarel: A dataset and models for answering questions about qualitative relationships. In Proceedings of the AAAI Conference on Artificial Intelligence, volume 33, pages 7063-7071.
Alon Talmor, Oyvind Tafjord, Peter Clark, Yoav Goldberg, and Jonathan Berant. 2020. Leap-of-thought: Teaching pre-trained models to systematically reason over implicit knowledge. Advances in Neural Information Processing Systems, 33.
Alberto Testolin, Serena Dolfi, Mathijs Rochus, and Marco Zorzi. 2020. Visual sense of number vs. sense of magnitude in humans and machines. Scientific reports, 10(1):1-13.
Andrew Trask, Felix Hill, Scott E Reed, Jack Rae, Chris Dyer, and Phil Blunsom. 2018. Neural arithmetic logic units. In Advances in Neural Information Processing Systems, pages 8035-8044.
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.
Eric Wallace, Yizhong Wang, Sujian Li, Sameer Singh, and Matt Gardner. 2019. Do NLP models know numbers? probing numeracy in embeddings. In Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP), pages 5307-5315, Hong Kong, China. Association for Computational Linguistics.
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2019. Superglue: A stickier benchmark for general-purpose language understanding systems. In Advances in Neural Information Processing Systems, pages 3266-3280.
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018. GLUE: A multi-task benchmark and analysis platform for natural language understanding. In Proceedings of the 2018 EMNLP Workshop BlackboxNLP: Analyzing and Interpreting Neural Networks for NLP, pages 353-355, Brussels, Belgium. Association for Computational Linguistics.
Sandra Williams and Richard Power. 2010. A fact-aligned corpus of numerical expressions. In Proceedings of the Seventh International Conference
on Language Resources and Evaluation (LREC'10), Valletta, Malta. European Language Resources Association (ELRA).
Yonghui Wu, Mike Schuster, Zhifeng Chen, Quoc V. Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, Keith Stevens, George Kurian, Nishant Patil, Wei Wang, Cliff Young, Jason Smith, Jason Riesa, Alex Rudnick, Oriol Vinyals, Greg Corrado, Macduff Hughes, and Jeffrey Dean. 2016. Google's neural machine translation system: Bridging the gap between human and machine translation.
Karen Wynn. 1990. Children's understanding of counting. Cognition, 36(2):155-193.
Xikun Zhang, Deepak Ramachandran, Ian Tenney, Yanai Elazar, and Dan Roth. 2020. Do language embeddings capture scales? In Findings of the Association for Computational Linguistics: EMNLP 2020, pages 4889-4896, Online. Association for Computational Linguistics.
Ben Zhou, Qiang Ning, Daniel Khashabi, and Dan Roth. 2020. Temporal common sense acquisition with minimal supervision. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, pages 7579-7589, Online. Association for Computational Linguistics.