🔗 Who cites «Distant Supervision for Relation Extraction beyond the Sentence Boundary»

70 papers of our library cite it (of the 141,840 whose bibliographies we read) · 10 with a page here, the most cited first · ← back to «Distant Supervision for Relation Extraction beyond the Sentence Boundary»

Graph Convolution over Pruned Dependency Trees Improves Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Yuhao Zhang, Peng Qi, Christopher D. Manning2018 · 1,049 citations
Multi-Task Identification of Entities, Relations, and Coreference for Scientific Knowledge Graph ConstructionConference on Empirical Methods in Natural Language Processing (EMNLP)Yi Luan, Luheng He, Mari Ostendorf, et al.2018 · 937 citations
Attention Guided Graph Convolutional Networks for Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Zhijiang Guo, Yan Zhang, Wei Lu2019 · 600 citations
Cross-Sentence N-ary Relation Extraction with Graph LSTMsTransactions of the Association for Computational Linguistics (TACL)Nanyun Peng, Hoifung Poon, Chris Quirk, et al.2017 · 554 citations
Reasoning with Latent Structure Refinement for Document-Level Relation ExtractionAnnual Meeting of the Association for Computational Linguistics (ACL)Guoshun Nan, Zhijiang Guo, Ivan Sekulic, et al.2020 · 380 citations
Simultaneously Self-Attending to All Mentions for Full-Abstract Biological Relation ExtractionConference of the North American Chapter of the Association for Computational Linguistics (NAACL)Patrick Verga, Emma Strubell, Andrew McCallum2018 · 351 citations
Double Graph Based Reasoning for Document-level Relation ExtractionConference on Empirical Methods in Natural Language Processing (EMNLP)Shuang Zeng, Runxin Xu, Baobao Chang, et al.2020 · 314 citations
Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented GraphsConference on Empirical Methods in Natural Language Processing (EMNLP)Fenia Christopoulou, Makoto Miwa, Sophia Ananiadou2019 · 296 citations
Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge DistillationFindings of the Association for Computational LinguisticsQingyu Tan, Ruidan He, Lidong Bing, et al.2022 · 169 citations
On the Need of Cross Validation for Discourse Relation ClassificationConference of the European Chapter of the Association for Computational Linguistics (EACL)Wei Shi, Vera Demberg2017 · 25 citations

60 more papers of our library cite it; they have no page here yet.

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