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The growing trend of Large Language Models (LLM) development has attracted significant attention, with models for various applications emerging consistently.
A. Mikheev, M. Moens, and C. Grover, “Named entity recognition without gazetteers,” in Ninth Conference of the European Chapter of the Association for Computational Linguistics
1999
Earlier work this paper cites.
D. L. McGuinness, F. Van Harmelen, et al
2004
Earlier work this paper cites.
G. Zhou, J. Su, J. Zhang, and M. Zhang, “Exploring various knowledge in relation extraction,” in Proceedings of the 43rd annual meeting of the association for computational linguistics (acl’05)
2005
Earlier work this paper cites.
T. Brants, A. C. Popat, P. Xu, F. J. Och, and J. Dean, “Large language models in machine translation,” in Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning
2007
Earlier work this paper cites.
D. Zeng, K. Liu, S. Lai, G. Zhou, and J. Zhao, “Relation classification via convolutional deep neural network,” in Proceedings of COLING 2014, the 25th international conference on computational linguistics: technical papers
2014
Earlier work this paper cites.
W. Shen, J. Wang, and J. Han, “Entity linking with a knowledge base: Issues, techniques, and solutions,” IEEE Transactions on Knowledge and Data Engineering
2014
Earlier work this paper cites.
R. J. Baumgartner and R. Rauter, “Strategic perspectives of corporate sustainability management to develop a sustainable organization,” Journal of Cleaner Production
2017
Earlier work this paper cites.
2017
Earlier work this paper cites.
A. Kamath and R. Das, “A survey on semantic parsing,” arXiv preprint arXiv:1812.00978
2018
Cited alongside, same era.
2018
Cited alongside, same era.
https://press.un.org/en/2018/gaef3495.doc.htm
U. Nations, “World’s poorest nations left behind in reaching sustainable development goals, delegates stress as second committee begins general debate,” 2018 · 2018
Cited alongside, same era.
H. Chen, G. Cao, J. Chen, and J. Ding, “A practical framework for evaluating the quality of knowledge graph,” in Knowledge Graph and Semantic Computing: Knowledge Computing and Language Understanding: 4th China Conference, CCKS 2019, Hangzhou, China, August 24–27, 2019, Revised Selected Papers 4
2019
Cited alongside, same era.
P.-L. H. Cabot and R. Navigli, “Rebel: Relation extraction by end-to-end language generation,” in Findings of the Association for Computational Linguistics: EMNLP 2021
2021
Later among the works it cites.
L. Ouyang, J. Wu, X. Jiang, D. Almeida, C. Wainwright, P. Mishkin, C. Zhang, S. Agarwal, K. Slama, A. Ray, et al
2022
Later among the works it cites.
https://www.simon-kucher.com/en/insights/2022-global-sustainability-study-growth-potential-environmental-change
Simon-Kucher, “2022 global sustainability study: The growth potential of environmental change.” · 2022
Later among the works it cites.
A. Ehrhardt and M. T. Nguyen, “Automated esg report analysis by joint entity and relation extraction,” in Machine Learning and Principles and Practice of Knowledge Discovery in Databases: International Workshops of ECML PKDD 2021, Virtual Event, September 13-17, 2021, Proceedings, Part II
2022
Later among the works it cites.
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X. Chen, S. Jia, and Y. Xiang, “A review: Knowledge reasoning over knowledge graph,” Expert Systems with Applications
2020
Cited alongside, same era.
T. Brown, B. Mann, N. Ryder, M. Subbiah, J. D. Kaplan, P. Dhariwal, A. Neelakantan, P. Shyam, G. Sastry, A. Askell, et al
2020
Cited alongside, same era.
C. Raffel, N. Shazeer, A. Roberts, K. Lee, S. Narang, M. Matena, Y. Zhou, W. Li, and P. J. Liu, “Exploring the limits of transfer learning with a unified text-to-text transformer,” The Journal of Machine Learning Research
2020
Cited alongside, same era.
M. Lewis, Y. Liu, N. Goyal, M. Ghazvininejad, A. Mohamed, O. Levy, V. Stoyanov, and L. Zettlemoyer, “BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension,” in Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
2020
Cited alongside, same era.
”https://newsapi.org/”
NewsAPI.org, “Newsapi.”
Cited in the paper.
I. Vodenska, R. Trajanov, L. Chitkushev, and D. Trajanov, “Challenges and opportunities in esg investments,” in Computer Science and Education in Computer Science: 18th EAI International Conference, CSECS 2022, On-Site and Virtual Event, June 24-27, 2022, Proceedings
2022
Later among the works it cites.
E. Saravia, “Prompt Engineering Guide,” https://github.com/dair-ai/Prompt-Engineering-Guide
2022
Later among the works it cites.
OpenAI, “Gpt-4 technical report,” arXiv preprint arXiv:2303.08774
2023
Closest in time.
J. Lee and M. Kim, “Esg information extraction with cross-sectoral and multi-source adaptation based on domain-tuned language models,” Expert Systems with Applications
2023
Closest in time.