---
title: "Who cites Connecting the Dots: — 55 citing papers"
description: "55 papers of the Elamur Research library cite «Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs»…"
canonical: "https://research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Connecting the Dots: Document-level Neural…](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/) / cited by

# Who cites «Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs»

55 papers of our library cite it (of the 141,840 whose bibliographies we read) · 4 with a page here, the most cited first · [← back to «Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs»](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/)

1. **[Reasoning with Latent Structure Refinement for Document-Level Relation Extraction](https://md.research.elamur.ai/free/en/papers/nan-2020-reasoning-latent-structure-refinement-document/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Guoshun Nan, Zhijiang Guo, Ivan Sekulic, et al.*2020 · 380 citations*
2. **[Double Graph Based Reasoning for Document-level Relation Extraction](https://md.research.elamur.ai/free/en/papers/zeng-2020-double-graph-based-reasoning-document/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shuang Zeng, Runxin Xu, Baobao Chang, et al.*2020 · 314 citations*
3. **[Document-Level Relation Extraction with Adaptive Focal Loss and Knowledge Distillation](https://md.research.elamur.ai/free/en/papers/tan-2022-document-level-relation-extraction-adaptive/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Qingyu Tan, Ruidan He, Lidong Bing, et al.*2022 · 169 citations*
4. **[Incorporating Syntax and Semantics in Coreference Resolution with Heterogeneous Graph Attention Network](https://md.research.elamur.ai/free/en/papers/jiang-2021-incorporating-syntax-semantics-coreference-resolution/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Fan Jiang, Trevor Cohn*2021 · 23 citations*

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

- [← back to](https://md.research.elamur.ai/free/en/papers/christopoulou-2019-connecting-dots-document-level-neural/) — Connecting the Dots: Document-level Neural Relation Extraction with Edge-oriented Graphs