Fetching the paper…
Reading the bibliography…
Many specialized domains remain untouched by deep learning, as large labeled datasets require expensive expert annotators.
Findings of the 2014 workshop on statistical machine translation
Ondrej Bojar, C. Buck, C. Federmann, B. Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, and A. Tamchyna · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Learning from massive noisy labeled data for image classification
Tong Xiao, Tian Xia, Yi Yang, Chang Huang, and Xiaogang Wang · 2015
Earlier work this paper cites.
Advance your contract management process, 2017
CEB · 2017
Earlier work this paper cites.
Extracting contract elements
Ilias Chalkidis, Ion Androutsopoulos, and A. Michos · 2017
Earlier work this paper cites.
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, L. Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
Obligation and prohibition extraction using hierarchical rnns
Ilias Chalkidis, Ion Androutsopoulos, and A. Michos · 2018
Earlier work this paper cites.
Coliee-2018: Evaluation of the competition on legal information extraction and entailment
Yoshinobu Kano, Miyoung Kim, M. Yoshioka, Yao Lu, J. Rabelo, Naoki Kiyota, R. Goebel, and K. Satoh · 2018
Earlier work this paper cites.
Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang · 2018
Cited alongside, same era.
Large-scale multi-label text classification on eu legislation
Ilias Chalkidis, Manos Fergadiotis, Prodromos Malakasiotis, and Ion Androutsopoulos · 2019
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
J. Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
Cited alongside, same era.
Cjrc: A reliable human-annotated benchmark dataset for chinese judicial reading comprehension
X. Duan, Baoxin Wang, Ziyue Wang, Wentao Ma, Yiming Cui, D. Wu, S. Wang, T. Liu, Tianxiang Huo, Z. Hu, Heng Wang, and Z. Liu · 2019
Cited alongside, same era.
Roberta: A robustly optimized bert pretraining approach
Y. Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, M. Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
Deberta: Decoding-enhanced bert with disentangled attention
Pengcheng He, Xiaodong Liu, Jianfeng Gao, and Weizhu Chen · 2020
Later among the works it cites.
A dataset for statutory reasoning in tax law entailment and question answering
N. Holzenberger, Andrew Blair-Stanek, and Benjamin Van Durme · 2020
Later among the works it cites.
Albert: A lite bert for self-supervised learning of language representations
Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut · 2020
Later among the works it cites.
A benchmark for lease contract review
Spyretta Leivaditi, J. Rossi, and E. Kanoulas · 2020
Later among the works it cites.
Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Rémi 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 M. Rush · 2020
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Superglue: A stickier benchmark for general-purpose language understanding systems
Alex Wang, Yada Pruksachatkun, Nikita Nangia, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel R. Bowman · 2019
Cited alongside, same era.
Language models are few-shot learners
T. Brown, B. Mann, Nick Ryder, Melanie Subbiah, J. Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, G. Krüger, T. Henighan, R. Child, Aditya Ramesh, D. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, E. Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, J. Clark, Christopher Berner, Sam McCandlish, A. Radford, Ilya Sutskever, and Dario Amodei · 2020
Cited alongside, same era.
Don’t stop pretraining: Adapt language models to domains and tasks
Suchin Gururangan, Ana Marasović, Swabha Swayamdipta, Kyle Lo, Iz Beltagy, Doug Downey, and Noah A. Smith · 2020
Cited alongside, same era.
Measuring coding challenge competence with apps
Dan Hendrycks, Steven Basart, Saurav Kadavath, Mantas Mazeika, Akul Arora, Ethan Guo, Collin Burns, Samir Puranik, Horace He, Dawn Song, and Jacob Steinhardt
Cited in the paper.
Measuring massive multitask language understanding
Dan Hendrycks, Collin Burns, Steven Basart, Andy Zou, Mantas Mazeika, D. Song, and J. Steinhardt
Cited in the paper.
Measuring mathematical problem solving with the math dataset
Dan Hendrycks, Collin Burns, Saurav Kadavath, Akul Arora, Steven Basart, Eric Tang, Dawn Song, and Jacob Steinhardt
Cited in the paper.
Later among the works it cites.
How does nlp benefit legal system: A summary of legal artificial intelligence
Haoxi Zhong, Chaojun Xiao, Cunchao Tu, Tianyang Zhang, Zhiyuan Liu, and Maosong Sun · 2020
Later among the works it cites.
Chexseg: Combining expert annotations with dnn-generated saliency maps for x-ray segmentation
Soham Gadgil, Mark Endo, Emily P. Wen, A. Ng, and P. Rajpurkar · 2021
Closest in time.