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Open Information Extraction (OpenIE) facilitates domain-independent discovery of relational facts from large corpora.
Simple statistical gradient-following algorithms for connectionist reinforcement learning
Ronald J. Williams · 1992
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Global learning of typed entailment rules
Jonathan Berant, Ido Dagan, and Jacob Goldberger · 2011
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Clausie: Clause-based open information extraction
Luciano Del Corro and Rainer Gemulla · 2013
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Learning phrase representations using RNN encoder–decoder for statistical machine translation
Kyunghyun Cho, Bart van Merriënboer, Caglar Gulcehre, Dzmitry Bahdanau, Fethi Bougares, Holger Schwenk, and Yoshua Bengio · 2014
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Open question answering over curated and extracted knowledge bases
Anthony Fader, Luke Zettlemoyer, and Oren Etzioni · 2014
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Generative adversarial nets
Ian J. Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron C. Courville, and Yoshua Bengio · 2014
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Leveraging linguistic structure for open domain information extraction
Gabor Angeli, Melvin Jose Johnson Premkumar, and Christopher D. Manning · 2015
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Neural machine translation by jointly learning to align and translate
Dzmitry Bahdanau, Kyunghyun Cho, and Yoshua Bengio · 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
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Training very deep networks
Rupesh Kumar Srivastava, Klaus Greff, and Jürgen Schmidhuber · 2015
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Open IE as an intermediate structure for semantic tasks
Gabriel Stanovsky, Ido Dagan, and Mausam · 2015
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Incorporating copying mechanism in sequence-to-sequence learning
Jiatao Gu, Zhengdong Lu, Hang Li, and Victor O.K. Li · 2016
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Open information extraction systems and downstream applications
Mausam · 2016
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Creating a large benchmark for open information extraction
Gabriel Stanovsky and Ido Dagan · 2016
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Modeling coverage for neural machine translation
Zhaopeng Tu, Zhengdong Lu, Yang Liu, Xiaohua Liu, and Hang Li · 2016
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Analysing errors of open information extraction systems
Rudolf Schneider, Tom Oberhauser, Tobias Klatt, Felix A. Gers, and Alexander Löser · 2017
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Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin · 2017
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Neural open information extraction
Lei Cui, Furu Wei, and Ming Zhou · 2018
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A systematic mapping study on open information extraction
Rafael Glauber and Daniela Barreiro Claro · 2018
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Open information extraction on scientific text: An evaluation
Paul Groth, Michael Lauruhn, Antony Scerri, and Ron Daniel Jr · 2018
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A survey on open information extraction
Christina Niklaus, Matthias Cetto, André Freitas, and Siegfried Handschuh · 2018
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Open information extraction from conjunctive sentences
Swarnadeep Saha and Mausam · 2018
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Supervised open information extraction
Gabriel Stanovsky, Julian Michael, Luke Zettlemoyer, and Ido Dagan · 2018
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OpenCeres: When open information extraction meets the semi-structured web
Colin Lockard, Prashant Shiralkar, and Xin Luna Dong · 2019
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Supervising unsupervised open information extraction models
Arpita Roy, Youngja Park, Taesung Lee, and Shimei Pan · 2019
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DocRED: A large-scale document-level relation extraction dataset
Yuan Yao, Deming Ye, Peng Li, Xu Han, Yankai Lin, Zhenghao Liu, Zhiyuan Liu, Lixin Huang, Jie Zhou, and Maosong Sun · 2019
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On aligning OpenIE extractions with knowledge bases: A case study
Kiril Gashteovski, Rainer Gemulla, Bhushan Kotnis, Sven Hertling, and Christian Meilicke · 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 · 2020
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Logician: A unified end-to-end neural approach for open-domain information extraction
Mingming Sun, Xu Li, Xin Wang, Miao Fan, Yue Feng, and Ping Li · 2018
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CESI: canonicalizing open knowledge bases using embeddings and side information
Shikhar Vashishth, Prince Jain, and Partha P. Talukdar · 2018
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Towards practical open knowledge base canonicalization
Tien-Hsuan Wu, Zhiyong Wu, Ben Kao, and Pengcheng Yin · 2018
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Assertion-based QA with question-aware open information extraction
Zhao Yan, Duyu Tang, Nan Duan, Shujie Liu, Wendi Wang, Daxin Jiang, Ming Zhou, and Zhoujun Li · 2018
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CaRB: A crowdsourced benchmark for open IE
Sangnie Bhardwaj, Samarth Aggarwal, and Mausam Mausam · 2019
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Open information extraction from question-answer pairs
Nikita Bhutani, Yoshihiko Suhara, Wang-Chiew Tan, Alon Halevy, and H. V. Jagadish · 2019
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Keshav Kolluru, Samarth Aggarwal, Vipul Rathore, Mausam, and Soumen Chakrabarti · 2020
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Co-clustering triples from open information extraction
Koninika Pal, Vinh Thinh Ho, and Gerhard Weikum · 2020
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Multi 2 OIE: Multilingual open information extraction based on multi-head attention with BERT
Youngbin Ro, Yukyung Lee, and Pilsung Kang · 2020
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Syntactic and semantic-driven learning for open information extraction
Jialong Tang, Yaojie Lu, Hongyu Lin, Xianpei Han, Le Sun, Xinyan Xiao, and Hua Wu · 2020
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A survey of deep learning techniques for neural machine translation
Shuoheng Yang, Yuxin Wang, and Xiaowen Chu · 2020
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Span model for open information extraction on accurate corpus
Junlang Zhan and Hai Zhao · 2020
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Docoie: A document-level context-aware dataset for openie
Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, and Xiaoli Li · 2021
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Generative adversarial networks for open information extraction
Jiabao Han and Hongzhi Wang · 2021
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Maximal clique based non-autoregressive open information extraction
Bowen Yu, Yucheng Wang, Tingwen Liu, Hongsong Zhu, Limin Sun, and Bin Wang · 2021
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Semi-open information extraction
Bowen Yu, Zhenyu Zhang, Jiawei Sheng, Tingwen Liu, Yubin Wang, Yucheng Wang, and Bin Wang · 2021
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A survey on deep learning for named entity recognition
Jing Li, Aixin Sun, Jianglei Han, and Chenliang Li · 2022
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