Fetching the paper…
Reading the bibliography…
Document-level relation extraction (DocRE) poses the challenge of identifying relationships between entities within a document as opposed to the traditional RE setting where a single sentence is input.
Injecting Knowledge Base Information into End-to-End Joint Entity and Relation Extraction and Coreference Resolution
Verlinden, S.; Zaporojets, K.; Deleu, J.; Demeester, T.; and Develder, C. 2021 · 1957
Earlier work this paper cites.
DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extraction
Ma, Y.; Wang, A.; and Okazaki, N. 2023 · 1975
Earlier work this paper cites.
WordNet: A Lexical Database for English
Miller, G. A. 1995 · 1995
Earlier work this paper cites.
The Link Prediction Problem for Social Networks
Liben-Nowell, D.; and Kleinberg, J. 2003 · 2003
Earlier work this paper cites.
Wikidata: A Free Collaborative Knowledgebase
Vrandečić, D.; and Krötzsch, M. 2014 · 2014
Earlier work this paper cites.
Adam: A Method for Stochastic Optimization
Kingma, D. P.; and Ba, J. 2015 · 2015
Earlier work this paper cites.
Embedding Entities and Relations for Learning and Inference in Knowledge Bases
Yang, B.; Yih, W.; He, X.; Gao, J.; and Deng, L. 2015 · 2015
Earlier work this paper cites.
Distant Supervision for Relation Extraction via Piecewise Convolutional Neural Networks
Zeng, D.; Liu, K.; Chen, Y.; and Zhao, J. 2015 · 2015
Earlier work this paper cites.
Improved Neural Relation Detection for Knowledge Base Question Answering
Yu, M.; Yin, W.; Hasan, K. S.; dos Santos, C.; Xiang, B.; and Zhou, B. 2017 · 2017
Earlier work this paper cites.
Modeling Relational Data with Graph Convolutional Networks
Schlichtkrull, M. S.; Kipf, T. N.; Bloem, P.; van den Berg, R.; Titov, I.; and Welling, M. 2018 · 2018
Earlier work this paper cites.
RESIDE: Improving Distantly-Supervised Neural Relation Extraction using Side Information
Vashishth, S.; Joshi, R.; Prayaga, S. S.; Bhattacharyya, C.; and Talukdar, P. 2018 · 2018
Earlier work this paper cites.
Graph Convolution over Pruned Dependency Trees Improves Relation Extraction
Zhang, Y.; Qi, P.; and Manning, C. D. 2018 · 2018
Earlier work this paper cites.
Matching the Blanks: Distributional Similarity for Relation Learning
Baldini Soares, L.; FitzGerald, N.; Ling, J.; and Kwiatkowski, T. 2019 · 2019
Cited alongside, same era.
DocRED: A Large-Scale Document-Level Relation Extraction Dataset
Yao, Y.; Ye, D.; Li, P.; Han, X.; Lin, Y.; Liu, Z.; Liu, Z.; Huang, L.; Zhou, J.; and Sun, M. 2019 · 2019
Cited alongside, same era.
Enhancing Online Knowledge Graph Population with Semantic Knowledge
Fernàndez-Cañellas, D.; Marco Rimmek, J.; Espadaler, J.; Garolera, B.; Barja, A.; Codina, M.; Sastre, M.; Giro-i Nieto, X.; Riveiro, J. C.; and Bou-Balust, E. 2020 · 2020
Cited alongside, same era.
Reasoning with Latent Structure Refinement for Document-Level Relation Extraction
Nan, G.; Guo, Z.; Sekulic, I.; and Lu, W. 2020 · 2020
Cited alongside, same era.
Double Graph Based Reasoning for Document-level Relation Extraction
Zeng, S.; Xu, R.; Chang, B.; and Li, L. 2020 · 2020
Cited alongside, same era.
Document-level Relation Extraction as Semantic Segmentation
Zhang, N.; Chen, X.; Xie, X.; Deng, S.; Tan, C.; Chen, M.; Huang, F.; Si, L.; and Chen, H. 2021 · 2021
Later among the works it cites.
Document-Level Relation Extraction with Adaptive Thresholding and Localized Context Pooling
Zhou, W.; Huang, K.; Ma, T.; and Huang, J. 2021 · 2021
Later among the works it cites.
Knowledge Extraction From Texts Based on Wikidata
Shimorina, A.; Heinecke, J.; and Herledan, F. 2022 · 2022
Later among the works it cites.
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation
Tan, Q.; He, R.; Bing, L.; and Ng, H. T. 2022a · 2022
Later among the works it cites.
Revisiting DocRED - Addressing the False Negative Problem in Relation Extraction
Tan, Q.; Xu, L.; Bing, L.; Ng, H. T.; and Aljunied, S. M. 2022b · 2022
Later among the works it cites.
Enhancing Document-Level Relation Extraction by Entity Knowledge Injection
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Zhang, Z.; Cai, J.; Zhang, Y.; and Wang, J. 2020 · 2020
Cited alongside, same era.
RECON: Relation Extraction using Knowledge Graph Context in a Graph Neural Network
Bastos, A.; Nadgeri, A.; Singh, K.; Mulang’, I. O.; Shekarpour, S.; Hoffart, J.; and Kaul, M. 2021 · 2021
Cited alongside, same era.
REBEL: Relation Extraction By End-to-end Language generation
Huguet Cabot, P.-L.; and Navigli, R. 2021 · 2021
Cited alongside, same era.
Discriminative Reasoning for Document-level Relation Extraction
Xu, W.; Chen, K.; and Zhao, T. 2021a · 2021
Cited alongside, same era.
Document-Level Relation Extraction with Reconstruction
Xu, W.; Chen, K.; and Zhao, T. 2021b · 2021
Cited alongside, same era.
DWIE: An entity-centric dataset for multi-task document-level information extraction
Zaporojets, K.; Deleu, J.; Develder, C.; and Demeester, T. 2021 · 2021
Cited alongside, same era.
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction
Zeng, S.; Wu, Y.; and Chang, B. 2021 · 2021
Cited alongside, same era.
Wang, X.; Wang, Z.; Sun, W.; and Hu, W. 2022 · 2022
Later among the works it cites.
SAIS: Supervising and Augmenting Intermediate Steps for Document-Level Relation Extraction
Xiao, Y.; Zhang, Z.; Mao, Y.; Yang, C.; and Han, J. 2022 · 2022
Later among the works it cites.
Eider: Empowering Document-level Relation Extraction with Efficient Evidence Extraction and Inference-stage Fusion
Xie, Y.; Shen, J.; Li, S.; Mao, Y.; and Han, J. 2022 · 2022
Later among the works it cites.
A Little Bit Attention Is All You Need for Person Re-Identification
Eisenbach, M.; Lübberstedt, J.; Aganian, D.; and Gross, H. 2023 · 2023
Later among the works it cites.
ReOnto: A Neuro-Symbolic Approach for Biomedical Relation Extraction
Jain, M.; Singh, K.; and Mutharaju, R. 2023 · 2023
Later among the works it cites.
Document-Level Relation Extraction with Path Reasoning
Xu, W.; Chen, K.; and Zhao, T. 2023 · 2023
Later among the works it cites.
Explaining Link Prediction Systems Based on Knowledge Graph Embeddings
Rossi, A.; Firmani, D.; Merialdo, P.; and Teofili, T. 2022 · 2075
Closest in time.