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We propose an ensemble approach to predict the labels in linear programming word problems.
Exploring the limits of transfer learning with a unified text-to-text transformer, 2019
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu · 1910
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A new polynomial-time algorithm for linear programming
N Karmarkar · 1984
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The (dantzig) simplex method for linear programming
John C Nash · 2000
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Flair: An easy-to-use framework for state-of-the-art nlp
Alan Akbik, Tanja Bergmann, Duncan Blythe, Kashif Rasul, Stefan Schweter, and Roland Vollgraf · 2019
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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An analysis of simple data augmentation for named entity recognition
Xiang Dai and Heike Adel · 2020
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IBM ILOG CPLEX Optimization Studio, 2022
CPLEX · 2022
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Hugging face
Hugging Face · 2022
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MultiCoNER: a Large-scale Multilingual dataset for Complex Named Entity Recognition
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, and Oleg Rokhlenko
Cited in the paper.
Infrrd.ai at semeval-2022 task 11: A system for named entity recognition using data augmentation, transformer-based sequence labeling model, and ensemblecrf
Jianglong He, Akshay Uppal, Mamatha N, Shiv Vignesh, Deepak Kumar, and Aditya Kumar Sarda · 2022
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SemEval-2022 Task 11: Multilingual Complex Named Entity Recognition (MultiCoNER)
Shervin Malmasi, Anjie Fang, Besnik Fetahu, Sudipta Kar, and Oleg Rokhlenko · 2022
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URL https://nl4opt.github.io/
NL4Opt, 2022 · 2022
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Rindranirina Ramamonjison, Haley Li, Timothy T. Yu, Shiqi He, Vishnu Rengan, Amin Banitalebi-Dehkordi, Zirui Zhou, and Yong Zhang · 2022
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