Analyzing Sustainability Reports Using Natural Language Processing

‘climate value at risk’of global financial assets

Simon Dietz, Alex Bowen, Charlie Dixon, and Philip Gradwell · 2016

Earlier work this paper cites.

Sentiment analysis: Detecting valence, emotions, and other affectual states from text

Saif M Mohammad · 2016

Earlier work this paper cites.

Final report: recommendations of the task force on climate-related financial disclosures

FSB TCFD · 2017

Earlier work this paper cites.

Attention is all you need

Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017

Earlier work this paper cites.

Supervised learning of universal sentence representations from natural language inference data

Original

Alexis Conneau, Douwe Kiela, Holger Schwenk, Loic Barrault, and Antoine Bordes · 2017

Earlier work this paper cites.

Scaling neural machine translation

Original

Myle Ott, Sergey Edunov, David Grangier, and Michael Auli · 2018

Earlier work this paper cites.

Bert: Pre-training of deep bidirectional transformers for language understanding

Original

Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018

Cited alongside, same era.

Tackling climate change with machine learning

Original

David Rolnick, Priya L Donti, Lynn H Kaack, Kelly Kochanski, Alexandre Lacoste, Kris Sankaran, Andrew Slavin Ross, Nikola Milojevic-Dupont, Natasha Jaques, Anna Waldman-Brown, et al · 2019

Cited alongside, same era.

2019 status report

TCFD · 2019

Cited alongside, same era.

Using natural language processing to analyze financial climate disclosures

Alexandra Luccioni and Hector Palacios · 2019

Cited alongside, same era.

Recognition and assessment of climate disclosure in annual business reports with natural language processing

Jonas Becker · 2019

Cited alongside, same era.

Albert: A lite bert for self-supervised learning of language representations

Original

Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut · 2019

Later among the works it cites.

Finbert: Financial sentiment analysis with pre-trained language models

Original

Dogu Araci · 2019

Later among the works it cites.

Roberta: A robustly optimized bert pretraining approach

Original

Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019

Later among the works it cites.

Quantifying the carbon emissions of machine learning

Original

Alexandre Lacoste, Alexandra Luccioni, Victor Schmidt, and Thomas Dandres · 2019

Later among the works it cites.