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Open Information Extraction (OpenIE) represents a crucial NLP task aimed at deriving structured information from unstructured text, unrestricted by relation type or domain.
Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam M. Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2020 · 1910
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Comparing partitions
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Entity-based cross-document coreferencing using the vector space model
Amit Bagga and Breck Baldwin. 1998 · 1998
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Causality: Models, reasoning and inference
Judea Pearl. 2000 · 2000
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An empirical study of the naive bayes classifier
Irina Rish et al. 2001 · 2001
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Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou. 2020 · 2004
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Imojie: Iterative memory-based joint open information extraction
Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, and Soumen Chakrabarti. 2020b · 2005
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How context affects language models’ factual predictions
Fabio Petroni, Patrick Lewis, Aleksandra Piktus, Tim Rocktäschel, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel. 2020 · 2005
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Open information extraction from the web
Michele Banko, Michael J Cafarella, Stephen Soderland, Matthew Broadhead, and Oren Etzioni. 2007 · 2007
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V-measure: A conditional entropy-based external cluster evaluation measure
Andrew Rosenberg and Julia Hirschberg. 2007 · 2007
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Textrunner: open information extraction on the web
Alexander Yates, Michele Banko, Matthew Broadhead, Michael J Cafarella, Oren Etzioni, and Stephen Soderland. 2007 · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt D. Bollacker, Colin Evans, Praveen K. Paritosh, Tim Sturge, and Jamie Taylor. 2008 · 2008
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The new york times annotated corpus
Evan Sandhaus. 2008 · 2008
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Distant supervision for relation extraction without labeled data
Mike D. Mintz, Steven Bills, Rion Snow, and Dan Jurafsky. 2009 · 2009
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Multiˆ2oie: Multilingual open information extraction based on multi-head attention with bert
Youngbin Ro, Yukyung Lee, and Pilsung Kang. 2020 · 2009
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Principal component analysis
Heng Tao Shen. 2009 · 2009
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Statsnowball: a statistical approach to extracting entity relationships
Jun Zhu, Zaiqing Nie, Xiaojiang Liu, Bo Zhang, and Ji-Rong Wen. 2009 · 2009
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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. 2020a · 2010
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Open information extraction using wikipedia
Fei Wu and Daniel S Weld. 2010 · 2010
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An analysis of open information extraction based on semantic role labeling
Janara Christensen, Stephen Soderland, and Oren Etzioni. 2011 · 2011
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Identifying relations for open information extraction
Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011 · 2011
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Structured relation discovery using generative models
Limin Yao, Aria Haghighi, Sebastian Riedel, and Andrew McCallum. 2011 · 2011
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Kraken: N-ary facts in open information extraction
Alan Akbik and Alexander Löser. 2012 · 2012
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Joint inference: A statistical approach for open information extraction
Yongbin Liu and Bingru Yang. 2012 · 2012
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Open language learning for information extraction
Michael Schmitz, Stephen Soderland, Robert Bart, Oren Etzioni, et al. 2012 · 2012
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An introduction to conditional random fields
Charles Sutton, Andrew McCallum, et al. 2012 · 2012
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Wikidata: A new platform for collaborative data collection
Denny Vrandečić. 2012 · 2012
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Comparison of open information extraction for english and spanish
Zhila A and Gelbukh A. 2013 · 2013
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Rule-based information extraction is dead! long live rule-based information extraction systems!
Laura Chiticariu, Yunyao Li, and Frederick R. Reiss. 2013 · 2013
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Clausie: clause-based open information extraction
Luciano Del Corro and Rainer Gemulla. 2013 · 2013
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Effectiveness and efficiency of open relation extraction
Filipe Mesquita, Jordan Schmidek, and Denilson Barbosa. 2013 · 2013
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Open information extraction based on lexical-syntactic patterns
Clarissa Castellã Xavier, Vera Lúcia Strube de Lima, and Marlo Souza. 2013 · 2013
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Canonicalizing open knowledge bases
Luis Galárraga, Geremy Heitz, Kevin P. Murphy, and Fabian M. Suchanek. 2014 · 2014
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An Overview of Open Information Extraction (Invited talk)
Pablo Gamallo. 2014 · 2014
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Zore: A syntax-based system for chinese open relation extraction
Likun Qiu and Yue Zhang. 2014 · 2014
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Improving open relation extraction via sentence re-structuring
Jordan Schmidek and Denilson Barbosa. 2014 · 2014
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Knowledge graph and text jointly embedding
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen. 2014 · 2014
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Leveraging linguistic structure for open domain information extraction
Gabor Angeli, Melvin Jose Johnson Premkumar, and Christopher D Manning. 2015 · 2015
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Question-answer driven semantic role labeling: Using natural language to annotate natural language
Luheng He, Mike Lewis, and Luke Zettlemoyer. 2015 · 2015
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Entity hierarchy embedding
Zhiting Hu, Po-Yao Huang, Yuntian Deng, Yingkai Gao, and Eric P. Xing. 2015 · 2015
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Learning entity and relation embeddings for knowledge graph completion
Yankai Lin, Zhiyuan Liu, Maosong Sun, Yang Liu, and Xuan Zhu. 2015 · 2015
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Open information extraction systems and downstream applications
Mausam Mausam. 2016 · 2016
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Demonyms and compound relational nouns in nominal open ie
Harinder Pal et al. 2016 · 2016
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Creating a large benchmark for open information extraction
Gabriel Stanovsky and Ido Dagan. 2016 · 2016
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Representation learning of knowledge graphs with hierarchical types
Ruobing Xie, Zhiyuan Liu, and Maosong Sun. 2016 · 2016
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Unsupervised open relation extraction
Hady Elsahar, Elena Demidova, Simon Gottschalk, Christophe Gravier, and Frederique Laforest. 2017 · 2017
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Combining syntactic and sequential patterns for unsupervised semantic relation extraction
Nadège Lechevrel, Kata Gábor, Isabelle Tellier, Thierry Charnois, Haïfa Zargayouna, and Davide Buscaldi. 2017 · 2017
Cited alongside, same era.
Crowdsourcing question-answer meaning representations
Julian Michael, Gabriel Stanovsky, Luheng He, Ido Dagan, and Luke Zettlemoyer. 2017 · 2017
Cited alongside, same era.
Cluster-aware pseudo-labeling for supervised open relation extraction
Bin Duan, Shusen Wang, Xingxian Liu, and Yajing Xu. 2022 · 2022
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Promptore-a novel approach towards fully unsupervised relation extraction
Pierre-Yves Genest, Pierre-Edouard Portier, Elöd Egyed-Zsigmond, and Laurent-Walter Goix. 2022 · 2022
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Hybrid neural tagging model for open relation extraction
Shengbin Jia, E Shijia, Ling Ding, Xiaojun Chen, and Yang Xiang. 2022 · 2022
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Alignment-augmented consistent translation for multilingual open information extraction
Keshav Kolluru, Mohammed Muqeeth, Shubham Mittal, Soumen Chakrabarti, and Mausam. 2022 · 2022
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Milie: Modular & iterative multilingual open information extraction
Bhushan Kotnis, Kiril Gashteovski, Daniel Onoro Rubio, Vanesa Rodríguez-Tembrás, Ammar Shaker, Makoto Takamoto, Mathias Niepert, and Carolin (Haas) Lawrence. 2022 · 2022
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Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, and Alexander Löser. 2017 · 2017
Cited alongside, same era.
Position-aware attention and supervised data improve slot filling
Yuhao Zhang, Victor Zhong, Danqi Chen, Gabor Angeli, and Christopher D. Manning. 2017 · 2017
Cited alongside, same era.
An assessment of open relation extraction systems for the semantic web
Amal Zouaq, Michel Gagnon, and Ludovic Jean-Louis. 2017 · 2017
Cited alongside, same era.
Neural open information extraction
Lei Cui, Furu Wei, and M. Zhou. 2018 · 2018
Cited alongside, same era.
T-rex: A large scale alignment of natural language with knowledge base triples
Hady ElSahar, Pavlos Vougiouklis, Arslen Remaci, Christophe Gravier, Jonathon S. Hare, Frédérique Laforest, and Elena Paslaru Bontas Simperl. 2018 · 2018
Cited alongside, same era.
Large-scale qa-srl parsing
Nicholas FitzGerald, Julian Michael, Luheng He, and Luke Zettlemoyer. 2018 · 2018
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A systematic mapping study on open information extraction
Rafael Glauber and Daniela Barreiro Claro. 2018 · 2018
Cited alongside, same era.
Yaojie Lu, Qing Liu, Dai Dai, Xinyan Xiao, Hongyu Lin, Xianpei Han, Le Sun, and Hua Wu. 2022 · 2022
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Detie: Multilingual open information extraction inspired by object detection
Michael Vasilkovsky, Anton Alekseev, Valentin Malykh, Ilya Shenbin, Elena Tutubalina, Dmitriy Salikhov, Mikhail Stepnov, Andrei Chertok, and Sergey Nikolenko. 2022 · 2022
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DeepStruct: Pretraining of language models for structure prediction
Chenguang Wang, Xiao Liu, Zui Chen, Haoyun Hong, Jie Tang, and Dawn Song. 2022a · 2022
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IELM: An open information extraction benchmark for pre-trained language models
Chenguang Wang, Xiao Liu, and Dawn Song. 2022b · 2022
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MatchPrompt: Prompt-based open relation extraction with semantic consistency guided clustering
Jiaxin Wang, Lingling Zhang, Jun Liu, Xi Liang, Yujie Zhong, and Yaqiang Wu. 2022c · 2022
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Open relation extraction with non-existent and multi-span relationships
Huifan Yang, Da-Wei Li, Zekun Li, Donglin Yang, and Bin Wu. 2022 · 2022
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Towards generalized open information extraction
Bowen Yu, Zhenyu Zhang, Jingyang Li, Haiyang Yu, Tingwen Liu, Jian Sun, Yongbin Li, and Bin Wang. 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, Haiyang Yu, Jian Sun, and Yongbin Li. 2022 · 2022
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Learning to rank context for named entity recognition using a synthetic dataset
Arthur Amalvy, Vincent Labatut, and Richard Dufour. 2023 · 2023
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In-context learning for few-shot multimodal named entity recognition
Chenran Cai, Qianlong Wang, Bin Liang, Bing Qin, Min Yang, Kam-Fai Wong, and Ruifeng Xu. 2023 · 2023
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Feng Chen and Yujian Feng. 2023 · 2023
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Open information extraction via chunks
Kuicai Dong, Aixin Sun, Jung jae Kim, and Xiaoli Li. 2023 · 2023
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Exploring the feasibility of chatgpt for event extraction
Jun Gao, Huan Zhao, Changlong Yu, and Ruifeng Xu. 2023 · 2023
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Llms accelerate annotation for medical information extraction
Akshay Goel, Almog Gueta, Omry Gilon, Chang Liu, Sofia Erell, Lan Huong Nguyen, Xiaohong Hao, Bolous Jaber, Shashir Reddy, Rupesh Kartha, Jean Steiner, Itay Laish, and Amir Feder. 2023 · 2023
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Instructie: A chinese instruction-based information extraction dataset
Honghao Gui, Jintian Zhang, Hongbin Ye, and Ningyu Zhang. 2023 · 2023
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Ridong Han, Tao Peng, Chaohao Yang, Benyou Wang, Lu Liu, and Xiang Wan. 2023 · 2023
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Survey of hallucination in natural language generation
Ziwei Ji, Nayeon Lee, Rita Frieske, Tiezheng Yu, Dan Su, Yan Xu, Etsuko Ishii, Ye Jin Bang, Andrea Madotto, and Pascale Fung. 2023 · 2023
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Exploiting asymmetry for synthetic training data generation: SynthIE and the case of information extraction
Martin Josifoski, Marija Sakota, Maxime Peyrard, and Robert West. 2023 · 2023
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Prompting chatgpt in mner: enhanced multimodal named entity recognition with auxiliary refined knowledge
Jinyuan Li, Han Li, Zhuo Pan, Di Sun, Jiahao Wang, Wenkun Zhang, and Gang Pan. 2023b · 2023
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Prompting ChatGPT in MNER: Enhanced multimodal named entity recognition with auxiliary refined knowledge
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Chen Ling, Xujiang Zhao, Xuchao Zhang, Yanchi Liu, Wei Cheng, Haoyu Wang, Zhengzhang Chen, Takao Osaki, Katsushi Matsuda, Haifeng Chen, et al. 2023 · 2023
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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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Pivoine: Instruction tuning for open-world entity profiling
Keming Lu, Xiaoman Pan, Kaiqiang Song, Hongming Zhang, Dong Yu, and Jianshu Chen. 2023 · 2023
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Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung, P Jeffrey Brantingham, Nanyun Peng, and Wei Wang. 2023 · 2023
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Large language models as instructors: A study on multilingual clinical entity extraction
Simon Meoni, Eric De la Clergerie, and Theo Ryffel. 2023 · 2023
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Introducing chatgpt
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Preserving knowledge invariance: Rethinking robustness evaluation of open information extraction
Ji Qi, Chuchun Zhang, Xiaozhi Wang, Kaisheng Zeng, Jifan Yu, Jinxin Liu, Lei Hou, Juanzi Li, and Xu Bin. 2023b · 2023
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Investigating the factual knowledge boundary of large language models with retrieval augmentation
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Gollie: Annotation guidelines improve zero-shot information-extraction
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LLMaAA: Making large language models as active annotators
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Llmaaa: Making large language models as active annotators
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Actively supervised clustering for open relation extraction
Jun Zhao, Yongxin Zhang, Qi Zhang, Tao Gui, Zhongyu Wei, Minlong Peng, and Mingming Sun. 2023 · 2023
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Large language models for information retrieval: A survey
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