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Document-level relation extraction aims at inferring structured human knowledge from textual documents.
A linear programming formulation for global inference in natural language tasks
Dan Roth and Wen-tau Yih · 2004
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Semi-Markov conditional random fields for information extraction
Sunita Sarawagi and William W Cohen · 2004
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DBpedia: A nucleus for a web of open data
Sören Auer, Christian Bizer, Georgi Kobilarov, Jens Lehmann, Richard Cyganiak, and Zachary Ives · 2007
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A systematic exploration of the feature space for relation extraction
Jing Jiang and ChengXiang Zhai · 2007
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Relation extraction from Wikipedia using subtree mining
Dat PT Nguyen, Yutaka Matsuo, and Mitsuru Ishizuka · 2007
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YAGO: a core of semantic knowledge
Fabian M Suchanek, Gjergji Kasneci, and Gerhard Weikum · 2007
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Freebase: a collaboratively created graph database for structuring human knowledge
Kurt Bollacker, Colin Evans, Praveen Paritosh, Tim Sturge, and Jamie Taylor · 2008
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A re-examination of dependency path kernels for relation extraction
Mengqiu Wang · 2008
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Toward an architecture for never-ending language learning
Andrew Carlson, Justin Betteridge, Bryan Kisiel, Burr Settles, Estevam Hruschka, and Tom Mitchell · 2010
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Modeling relations and their mentions without labeled text
Sebastian Riedel, Limin Yao, and Andrew McCallum · 2010
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Jointly identifying entities and extracting relations in encyclopedia text via a graphical model approach
Xiaofeng Yu and Wai Lam · 2010
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Development of a benchmark corpus to support the automatic extraction of drug-related adverse effects from medical case reports
Harsha Gurulingappa, Abdul Mateen Rajput, Angus Roberts, Juliane Fluck, Martin Hofmann-Apitius, and Luca Toldo · 2012
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PATTY: A taxonomy of relational patterns with semantic types
Ndapandula Nakashole, Gerhard Weikum, and Fabian Suchanek · 2012
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Wikidata: a free collaborative knowledgebase
Denny Vrandečić and Markus Krötzsch · 2014
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Knowledge graph embedding by translating on hyperplanes
Zhen Wang, Jianwen Zhang, Jianlin Feng, and Zheng Chen · 2014
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Relation classification via convolutional deep neural network
Daojian Zeng, Kang Liu, Siwei Lai, Guangyou Zhou, and Jun Zhao · 2014
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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
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BioCreative V CDR task corpus: A resource for chemical disease relation extraction
Jiao Li, Yueping Sun, Robin J Johnson, Daniela Sciaky, Chih-Hsuan Wei, Robert Leaman, Allan Peter Davis, Carolyn J Mattingly, Thomas C Wiegers, and Zhiyong Lu · 2016
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End-to-end relation extraction using LSTMs on sequences and tree structures
Makoto Miwa and Mohit Bansal · 2016
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Attention-based bidirectional long short-term memory networks for relation classification
Peng Zhou, Wei Shi, Jun Tian, Zhenyu Qi, Bingchen Li, Hongwei Hao, and Bo Xu · 2016
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Global normalization of convolutional neural networks for joint entity and relation classification
Heike Adel and Hinrich Schütze · 2017
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MetaPAD: Meta pattern discovery from massive text corpora
Meng Jiang, Jingbo Shang, Taylor Cassidy, Xiang Ren, Lance M Kaplan, Timothy P Hanratty, and Jiawei Han · 2017
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Going out on a limb: Joint extraction of entity mentions and relations without dependency trees
Arzoo Katiyar and Claire Cardie · 2017
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Sachin Pawar, Girish K Palshikar, and Pushpak Bhattacharyya · 2017
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Joint entity and relation extraction based on a hybrid neural network
Suncong Zheng, Yuexing Hao, Dongyuan Lu, Hongyun Bao, Jiaming Xu, Hongwei Hao, and Bo Xu · 2017
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Knowledge base question answering via encoding of complex query graphs
Kangqi Luo, Fengli Lin, Xusheng Luo, and Kenny Zhu · 2018
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DKN: Deep knowledge-aware network for news recommendation
Hongwei Wang, Fuzheng Zhang, Xing Xie, and Minyi Guo · 2018
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SciBERT: A pretrained language model for scientific text
Iz Beltagy, Kyle Lo, and Arman Cohan · 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
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Twenty-five years of information extraction
Ralph Grishman · 2019
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A benchmark for fact checking algorithms built on knowledge bases
Viet-Phi Huynh and Paolo Papotti · 2019
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KagNet: Knowledge-aware graph networks for commonsense reasoning
Bill Yuchen Lin, Xinyue Chen, Jamin Chen, and Xiang Ren · 2019
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RoBERTa: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Language models as knowledge bases?
Fabio Petroni, Tim Rocktäschel, Patrick Lewis, Anton Bakhtin, Yuxiang Wu, Alexander H Miller, and Sebastian Riedel · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, et al · 2019
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Sentence-BERT: Sentence embeddings using siamese BERT-networks
Nils Reimers and Iryna Gurevych · 2019
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Fine-tune BERT for DocRED with two-step process
Hong Wang, Christfried Focke, Rob Sylvester, Nilesh Mishra, and William Wang · 2019
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RENET: A deep learning approach for extracting gene-disease associations from literature
Ye Wu, Ruibang Luo, Henry CM Leung, Hing-Fung Ting, and Tak-Wah Lam · 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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Document-level relation extraction as semantic segmentation
Ningyu Zhang, Xiang Chen, Xin Xie, Shumin Deng, Chuanqi Tan, Mosha Chen, Fei Huang, Luo Si, and Huajun Chen · 2021
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Factual probing is [mask]: Learning vs. learning to recall
Zexuan Zhong, Dan Friedman, and Danqi Chen · 2021
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Document-level relation extraction with adaptive thresholding and localized context pooling
Wenxuan Zhou, Kevin Huang, Tengyu Ma, and Jing Huang · 2021
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Parallel feature selection inspired by group testing
Yingbo Zhou, Utkarsh Porwal, Ce Zhang, Hung Q Ngo, XuanLong Nguyen, Christopher Ré, and Venu Govindaraju · 2021
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A review on language models as knowledge bases
Badr AlKhamissi, Millicent Li, Asli Celikyilmaz, Mona Diab, and Marjan Ghazvininejad · 2022
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Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
Cited alongside, same era.
Span-based joint entity and relation extraction with transformer pre-training
Markus Eberts and Adrian Ulges · 2020
Cited alongside, same era.
Semantic relation extraction using sequential and tree-structured lstm with attention
ZhiQiang Geng, GuoFei Chen, YongMing Han, Gang Lu, and Fang Li · 2020
Cited alongside, same era.
More data, more relations, more context and more openness: A review and outlook for relation extraction
Xu Han, Tianyu Gao, Yankai Lin, Hao Peng, Yaoliang Yang, Chaojun Xiao, Zhiyuan Liu, Peng Li, Maosong Sun, and Jie Zhou · 2020
Cited alongside, same era.
BART: Denoising sequence-to-sequence pre-training for natural language generation, translation, and comprehension
Mike Lewis, Yinhan Liu, Naman Goyal, Marjan Ghazvininejad, Abdelrahman Mohamed, Omer Levy, Ves Stoyanov, and Luke Zettlemoyer · 2020
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Reasoning with latent structure refinement for document-level relation extraction
Guoshun Nan, Zhijiang Guo, Ivan Sekulić, and Wei Lu · 2020
Cited alongside, same era.
E-BERT: Efficient-yet-effective entity embeddings for BERT
Nina Poerner, Ulli Waltinger, and Hinrich Schütze · 2020
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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, et al · 2022
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Knowledge base question answering by case-based reasoning over subgraphs
Rajarshi Das, Ameya Godbole, Ankita Naik, Elliot Tower, Manzil Zaheer, Hannaneh Hajishirzi, Robin Jia, and Andrew McCallum · 2022
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Measuring causal effects of data statistics on language model’s factual predictions
Yanai Elazar, Nora Kassner, Shauli Ravfogel, Amir Feder, Abhilasha Ravichander, Marius Mosbach, Yonatan Belinkov, Hinrich Schütze, and Yoav Goldberg · 2022
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A sequence-to-sequence approach for document-level relation extraction
John Giorgi, Gary D Bader, and Bo Wang · 2022
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BertNet: Harvesting knowledge graphs from pretrained language models
Shibo Hao, Bowen Tan, Kaiwen Tang, Hengzhe Zhang, Eric P Xing, and Zhiting Hu · 2022
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A novel bundling learning paradigm for named entity recognition
Bin Ji, Yalong Xie, Jie Yu, Shasha Li, Jun Ma, Yun Ji, and Huijun Liu · 2022
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Large language models struggle to learn long-tail knowledge
Nikhil Kandpal, Haikang Deng, Adam Roberts, Eric Wallace, and Colin Raffel · 2022
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Holistic evaluation of language models
Percy Liang, Rishi Bommasani, Tony Lee, Dimitris Tsipras, Dilara Soylu, Michihiro Yasunaga, Yian Zhang, Deepak Narayanan, Yuhuai Wu, Ananya Kumar, et al · 2022
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Named entity recognition and relation extraction using enhanced table filling by contextualized representations
Youmi Ma, Tatsuya Hiraoka, and Naoaki Okazaki · 2022
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P-adapters: Robustly extracting factual information from language models with diverse prompts
Benjamin Newman, Prafulla Kumar Choubey, and Nazneen Rajani · 2022
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Learning to retrieve prompts for in-context learning
Ohad Rubin, Jonathan Herzig, and Jonathan Berant · 2022
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Document-level relation extraction with adaptive focal loss and knowledge distillation
Qingyu Tan, Ruidan He, Lidong Bing, and Hwee Tou Ng · 2022
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A new concept of knowledge based question answering (KBQA) system for multi-hop reasoning
Yu Wang, Hongxia Jin, et al · 2022
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Document-level relation extraction with sentences importance estimation and focusing
Lili Mou Wang Xu, Kehai Chen and Tiejun Zhao · 2022
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SAIS: supervising and augmenting intermediate steps for document-level relation extraction
Yuxin Xiao, Zecheng Zhang, Yuning Mao, Carl Yang, and Jiawei Han · 2022
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Eider: Empowering document-level relation extraction with efficient evidence extraction and inference-stage fusion
Yiqing Xie, Jiaming Shen, Sha Li, Yuning Mao, and Jiawei Han · 2022
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Exploring privileged features for relation extraction with contrastive student-teacher learning
Xiaoyan Zhao, Min Yang, Qiang Qu, Ruifeng Xu, and Jieke Li · 2022
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Selective annotation makes language models better few-shot learners
SU Hongjin, Jungo Kasai, Chen Henry Wu, Weijia Shi, Tianlu Wang, Jiayi Xin, Rui Zhang, Mari Ostendorf, Luke Zettlemoyer, Noah A Smith, et al · 2023
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Think rationally about what you see: Continuous rationale extraction for relation extraction
Xuming Hu, Zhaochen Hong, Chenwei Zhang, Irwin King, and Philip Yu · 2023
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CodeIE: Large code generation models are better few-shot information extractors
Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, and Xipeng Qiu · 2023
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A novel pipelined end-to-end relation extraction framework with entity mentions and contextual semantic representation
Zhaoran Liu, Haozhe Li, Hao Wang, Yilin Liao, Xinggao Liu, and Gaojie Wu · 2023
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Dreeam: Guiding attention with evidence for improving document-level relation extraction
Youmi Ma, An Wang, and Naoaki Okazaki · 2023
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OpenAI · 2023
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Revisiting relation extraction in the era of large language models
Somin Wadhwa, Silvio Amir, and Byron C Wallace · 2023
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GPT-RE: In-context learning for relation extraction using large language models
Zhen Wan, Fei Cheng, Zhuoyuan Mao, Qianying Liu, Haiyue Song, Jiwei Li, and Sadao Kurohashi · 2023
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Larger language models do in-context learning differently
Jerry Wei, Jason Wei, Yi Tay, Dustin Tran, Albert Webson, Yifeng Lu, Xinyun Chen, Hanxiao Liu, Da Huang, Denny Zhou, et al · 2023
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S2ynRE: Two-stage self-training with synthetic data for low-resource relation extraction
Benfeng Xu, Quan Wang, Yajuan Lyu, Dai Dai, Yongdong Zhang, and Zhendong Mao · 2023
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Abhimanyu Dubey, Abhinav Jauhri, Abhinav Pandey, Abhishek Kadian, Ahmad Al-Dahle, Aiesha Letman, Akhil Mathur, Alan Schelten, Amy Yang, Angela Fan, et al · 2024
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Revisiting document-level relation extraction with context-guided link prediction
Monika Jain, Raghava Mutharaju, Ramakanth Kavuluru, and Kuldeep Singh · 2024
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