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In this study, we address one of the challenges of developing NER models for scholarly domains, namely the scarcity of suitable labeled data.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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Optimising Selective Sampling for Bootstrapping Named Entity Recognition
Markus Becker, Benjamin Hachey, Beatrice Alex, and Claire Grover. 2005 · 2005
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Named entity recognition for astronomy literature
Tara Murphy, Tara McIntosh, and James R. Curran. 2006 · 2006
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Ontology of Astronomical Object Types Version 1.3
Sébastien Derriere, Andrea Preite-Martinez, Alexandre Richard, Laurent Cambrésy, and Paolo Padovani. 2010 · 2010
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Auto-Labelling Entities in Low-Resource Text: A Geological Case Study
Majigsuren Enkhsaikhan, Wei Liu, Eun-Jung Holden, and Paul Duuring. 2021 · 2021
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A survey on recent approaches for natural language processing in low-resource scenarios
Michael A. Hedderich, Lukas Lange, Heike Adel, Jannik Strötgen, and Dietrich Klakow. 2021 · 2021
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Want to reduce labeling cost? GPT-3 can help
Shuohang Wang, Yang Liu, Yichong Xu, Chenguang Zhu, and Michael Zeng. 2021 · 2021
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mT5: A Massively Multilingual Pre-trained Text-to-Text Transformer
Linting Xue, Noah Constant, Adam Roberts, Mihir Kale, Rami Al-Rfou, Aditya Siddhant, Aditya Barua, and Colin Raffel. 2021 · 2021
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Scaling Instruction-Finetuned Language Models
Hyung Won Chung, Le Hou, Shayne Longpre, Barret Zoph, Yi Tay, William Fedus, Yunxuan Li, Xuezhi Wang, Mostafa Dehghani, Siddhartha Brahma, Albert Webson, Shixiang Shane Gu, Zhuyun Dai, Mirac Suzgun, Xinyun Chen, Aakanksha Chowdhery, Alex Castro-Ros, Marie Pellat, Kevin Robinson, Dasha Valter, Sharan Narang, Gaurav Mishra, Adams Yu, Vincent Zhao, Yanping Huang, Andrew Dai, Hongkun Yu, Slav Petrov, Ed H. Chi, Jeff Dean, Jacob Devlin, Adam Roberts, Denny Zhou, Quoc V. Le, and Jason Wei. 2022 · 2022
Cited alongside, same era.
Computer Science Named Entity Recognition in the Open Research Knowledge Graph
Astro-mT5: Entity Extraction from Astrophysics Literature using mT5 Language Model
Madhusudan Ghosh, Payel Santra, Sk Asif Iqbal, and Partha Basuchowdhuri. 2022 · 2022
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Overview of the First Shared Task on Detecting Entities in the Astrophysics Literature (DEAL)
Felix Grezes, Sergi Blanco-Cuaresma, Thomas Allen, and Tirthankar Ghosal. 2022 · 2022
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Is GPT-3 a Good Data Annotator?
Bosheng Ding, Chengwei Qin, Linlin Liu, Yew Ken Chia, Boyang Li, Shafiq Joty, and Lidong Bing. 2023 · 2023
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Agriculture Named Entity Recognition - Towards FAIR, Reusable Scholarly Contributions in Agriculture
Jennifer D’Souza. 2023 · 2023
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The Flan Collection: Designing Data and Methods for Effective Instruction Tuning
Shayne Longpre, Le Hou, Tu Vu, Albert Webson, Hyung Won Chung, Yi Tay, Denny Zhou, Quoc V Le, Barret Zoph, Jason Wei, and Adam Roberts. 2023 · 2023
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Jennifer D’Souza and Sören Auer. 2022 · 2022
Cited alongside, same era.