Fetching the paper…
Reading the bibliography…
This paper describes a method for using Transformer-based Language Models (TLMs) to understand public opinion from social media posts.
Do Neural Language Representations Learn Physical Commonsense?
Forbes, M.; Holtzman, A.; and Choi, Y. 2019 · 1908
Earlier work this paper cites.
Language models as knowledge bases?
Petroni, F.; Rocktäschel, T.; Lewis, P.; Bakhtin, A.; Wu, Y.; Miller, A. H.; and Riedel, S. 2019 · 1909
Earlier work this paper cites.
Navigating Language Models with Synthetic Agents
Feldman, P. 2020 · 2008
Earlier work this paper cites.
The radicalization risks of GPT-3 and advanced neural language models
McGuffie, K.; and Newhouse, A. 2020 · 2009
Earlier work this paper cites.
Survey research methods
Fowler Jr, F. J. 2013 · 2013
Earlier work this paper cites.
Echo chamber or public sphere? Predicting political orientation and measuring political homophily in Twitter using big data
Colleoni, E.; Rozza, A.; and Arvidsson, A. 2014 · 2014
Earlier work this paper cites.
Who tweets? Deriving the demographic characteristics of age, occupation and social class from Twitter user meta-data
Sloan, L.; Morgan, J.; Burnap, P.; and Williams, M. 2015 · 2015
Cited alongside, same era.
Vaswani, A.; Shazeer, N.; Parmar, N.; Uszkoreit, J.; Jones, L.; Gomez, A. N.; Kaiser, L.; and Polosukhin, I. 2017 · 2017
Cited alongside, same era.
Bert: Pre-training of deep bidirectional transformers for language understanding
Devlin, J.; Chang, M.-W.; Lee, K.; and Toutanova, K. 2018 · 2018
Cited alongside, same era.
Improving language understanding by generative pre-training
Radford, A.; Narasimhan, K.; Salimans, T.; and Sutskever, I. 2018 · 2018
Cited alongside, same era.
FLAIR: An easy-to-use framework for state-of-the-art NLP
Akbik, A.; Bergmann, T.; Blythe, D.; Rasul, K.; Schweter, S.; and Vollgraf, R. 2019 · 2019
Cited alongside, same era.
Language models are unsupervised multitask learners
Radford, A.; Wu, J.; Child, R.; Luan, D.; Amodei, D.; and Sutskever, I. 2019 · 2019
Later among the works it cites.
Language Models are Few-Shot Learners
Brown, T. B.; et al. 2020 · 2020
Later among the works it cites.
GPT-3: Its nature, scope, limits, and consequences
Floridi, L.; and Chiriatti, M. 2020 · 2020
Later among the works it cites.
How can we know what language models know?
Jiang, Z.; Xu, F. F.; Araki, J.; and Neubig, G. 2020 · 2020
Later among the works it cites.
Mining insights from large-scale corpora using fine-tuned language models
Palakodety, S.; KhudaBukhsh, A. R.; and Carbonell, J. G. 2020 · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…