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We consider the problem of Open-world Information Extraction (Open-world IE), which extracts comprehensive entity profiles from unstructured texts.
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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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 · 2004
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Enterprise information extraction: recent developments and open challenges
Laura Chiticariu, Yunyao Li, Sriram Raghavan, and Frederick R Reiss. 2010 · 2010
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No noun phrase left behind: detecting and typing unlinkable entities
Thomas Lin, Oren Etzioni, et al. 2012 · 2012
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Information extraction
Ralph Grishman. 2015 · 2015
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Neural architectures for named entity recognition
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AFET: Automatic fine-grained entity typing by hierarchical partial-label embedding
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End-to-end neural entity linking
Nikolaos Kolitsas, Octavian-Eugen Ganea, and Thomas Hofmann. 2018 · 2018
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A survey on open information extraction
Christina Niklaus, Matthias Cetto, André Freitas, and Siegfried Handschuh. 2018 · 2018
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Clinical information extraction applications: a literature review
Yanshan Wang, Liwei Wang, Majid Rastegar-Mojarad, Sungrim Moon, Feichen Shen, Naveed Afzal, Sijia Liu, Yuqun Zeng, Saeed Mehrabi, Sunghwan Sohn, et al. 2018 · 2018
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CaRB: A crowdsourced benchmark for open IE
Sangnie Bhardwaj, Samarth Aggarwal, and Mausam Mausam. 2019a · 2019
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Carb: A crowdsourced benchmark for open ie
Sangnie Bhardwaj, Samarth Aggarwal, and Mausam Mausam. 2019b · 2019
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OpenIE6: Iterative Grid Labeling and Coordination Analysis for Open Information Extraction
Keshav Kolluru, Vaibhav Adlakha, Samarth Aggarwal, Mausam, and Soumen Chakrabarti. 2020 · 2020
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REBEL: Relation extraction by end-to-end language generation
Pere-Lluís Huguet Cabot and Roberto Navigli. 2021 · 2021
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Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. 2021 · 2021
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Palm: Scaling language modeling with pathways
Aakanksha Chowdhery, Sharan Narang, Jacob Devlin, Maarten Bosma, Gaurav Mishra, Adam Roberts, Paul Barham, Hyung Won Chung, Charles Sutton, Sebastian Gehrmann, et al. 2022 · 2022
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Nilk: Entity linking dataset targeting nil-linking cases
Anastasiia Iurshina, Jiaxin Pan, Rafika Boutalbi, and Steffen Staab. 2022 · 2022
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Qifan Wang, Yi Fang, Anirudh Ravula, Fuli Feng, Xiaojun Quan, and Dongfang Liu. 2022 · 2022
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Finetuned language models are zero-shot learners
Jason Wei, Maarten Bosma, Vincent Zhao, Kelvin Guu, Adams Wei Yu, Brian Lester, Nan Du, Andrew M. Dai, and Quoc V Le. 2022 · 2022
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Generative knowledge graph construction: A review
Hongbin Ye, Ningyu Zhang, Hui Chen, and Huajun Chen. 2022 · 2022
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A survey on neural open information extraction: Current status and future directions
Shaowen Zhou, Bowen Yu, Aixin Sun, Cheng Long, Jingyang Li, and Jian Sun. 2022 · 2022
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Universal information extraction as unified semantic matching
Jie Lou, Yaojie Lu, Dai Dai, Wei Jia, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2023 · 2023
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