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Cross-lingual open information extraction aims to extract structured information from raw text across multiple languages.
Visualizing data using t-sne
Laurens van der Maaten and Geoffrey Hinton. 2008 · 2008
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Identifying relations for open information extraction
Anthony Fader, Stephen Soderland, and Oren Etzioni. 2011 · 2011
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Open language learning for information extraction
Mausam, Michael Schmitz, Stephen Soderland, Robert Bart, and Oren Etzioni. 2012 · 2012
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Clausie: clause-based open information extraction
Luciano Del Corro and Rainer Gemulla. 2013 · 2013
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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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Multilingual open information extraction
Pablo Gamallo and Marcos García. 2015 · 2015
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Open information extraction systems and downstream applications
Mausam. 2016a · 2016
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Open information extraction systems and downstream applications
Mausam. 2016b · 2016
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Creating a large benchmark for open information extraction
Gabriel Stanovsky and Ido Dagan. 2016 · 2016
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Universal decompositional semantics on universal dependencies
Aaron Steven White, Dee Ann Reisinger, Keisuke Sakaguchi, Tim Vieira, Sheng Zhang, Rachel Rudinger, Kyle Rawlins, and Benjamin Van Durme. 2016 · 2016
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Minie: Minimizing facts in open information extraction
Kiril Gashteovski, Rainer Gemulla, and Luciano Del Corro. 2017a · 2017
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Minie: Minimizing facts in open information extraction
Kiril Gashteovski, Rainer Gemulla, and Luciano Del Corro. 2017b · 2017
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Neural open information extraction
Lei Cui, Furu Wei, and Ming Zhou. 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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Open information extraction as an intermediate semantic structure for persian text summarization
Mahmoud Rahat and Alireza Talebpour. 2018 · 2018
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Supervised open information extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan. 2018a · 2018
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Supervised open information extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan. 2018b · 2018
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Carb: A crowdsourced benchmark for open IE
Sangnie Bhardwaj, Samarth Aggarwal, and Mausam. 2019 · 2019
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Open information extraction from question-answer pairs
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Y. Halevy, and H. V. Jagadish. 2019 · 2019
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Cross-lingual language model pretraining
Alexis Conneau and Guillaume Lample. 2019 · 2019
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BERT: pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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Minscie: Citation-centered open information extraction
Anne Lauscher, Yide Song, and Kiril Gashteovski. 2019 · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter. 2019 · 2019
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Supervising unsupervised open information extraction models
Arpita Roy, Youngja Park, Taesung Lee, and Shimei Pan. 2019 · 2019
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Contextualized word embeddings in a neural open information extraction model
Injy Sarhan and Marco R. Spruit. 2019 · 2019
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Multilingual neural machine translation with language clustering
Xu Tan, Jiale Chen, Di He, Yingce Xia, Tao Qin, and Tie-Yan Liu. 2019 · 2019
Lvp-m3: Language-aware visual prompt for multilingual multimodal machine translation
Hongcheng Guo, Jiaheng Liu, Haoyang Huang, Jian Yang, Zhoujun Li, Dongdong Zhang, and Zheng Cui. 2022 · 2022
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Lora: Low-rank adaptation of large language models
Edward J. Hu, Yelong Shen, Phillip Wallis, Zeyuan Allen-Zhu, Yuanzhi Li, Shean Wang, Lu Wang, and Weizhu Chen. 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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Cross-lingual cross-modal consolidation for effective multilingual video corpus moment retrieval
Jiaheng Liu, Tan Yu, Hanyu Peng, Mingming Sun, and Ping Li. 2022 · 2022
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CROP: zero-shot cross-lingual named entity recognition with multilingual labeled sequence translation
Jian Yang, Shaohan Huang, Shuming Ma, Yuwei Yin, Li Dong, Dongdong Zhang, Hongcheng Guo, Zhoujun Li, and Furu Wei. 2022a · 2022
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Language models are few-shot learners
Tom B. Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, Sandhini Agarwal, Ariel Herbert-Voss, Gretchen Krueger, Tom Henighan, Rewon Child, Aditya Ramesh, Daniel M. Ziegler, Jeffrey Wu, Clemens Winter, Christopher Hesse, Mark Chen, Eric Sigler, Mateusz Litwin, Scott Gray, Benjamin Chess, Jack Clark, Christopher Berner, Sam McCandlish, Alec Radford, Ilya Sutskever, and Dario Amodei. 2020 · 2020
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Cross-lingual natural language generation via pre-training
Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, and Heyan Huang. 2020a · 2020
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Cross-lingual natural language generation via pre-training
Zewen Chi, Li Dong, Furu Wei, Wenhui Wang, Xian-Ling Mao, and Heyan Huang. 2020b · 2020
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Unsupervised cross-lingual representation learning at scale
Alexis Conneau, Kartikay Khandelwal, Naman Goyal, Vishrav Chaudhary, Guillaume Wenzek, Francisco Guzmán, Edouard Grave, Myle Ott, Luke Zettlemoyer, and Veselin Stoyanov. 2020 · 2020
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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 · 2020
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Imojie: Iterative memory-based joint open information extraction
Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, and Soumen Chakrabarti. 2020b · 2020
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UM4: unified multilingual multiple teacher-student model for zero-resource neural machine translation
Jian Yang, Yuwei Yin, Shuming Ma, Dongdong Zhang, Shuangzhi Wu, Hongcheng Guo, Zhoujun Li, and Furu Wei. 2022c · 2022
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Parameter-efficient tuning makes a good classification head
Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, and Jie Tang. 2022d · 2022
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Parameter-efficient tuning makes a good classification head
Zhuoyi Yang, Ming Ding, Yanhui Guo, Qingsong Lv, and Jie Tang. 2022e · 2022
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Conner: Consistency training for cross-lingual named entity recognition
Ran Zhou, Xin Li, Lidong Bing, Erik Cambria, Luo Si, and Chunyan Miao. 2022 · 2022
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Crosssum: Beyond english-centric cross-lingual summarization for 1, 500+ language pairs
Abhik Bhattacharjee, Tahmid Hasan, Wasi Uddin Ahmad, Yuan-Fang Li, Yong-Bin Kang, and Rifat Shahriyar. 2023 · 2023
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Dozens of translation directions or millions of shared parameters? comparing two types of multilinguality in modular machine translation
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Inpars-v2: Large language models as efficient dataset generators for information retrieval
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GPT-RE: in-context learning for relation extraction using large language models
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