--- title: "Who cites Extracting Relational Facts by an End-to-End…" description: "88 papers of the Elamur Research library cite «Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism», found in their…" canonical: "https://research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Extracting Relational Facts by an End-to-End…](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) / cited by # Who cites «Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism» 88 papers of our library cite it (of the 140,884 whose bibliographies we read) · 3 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) 1. [**A Novel Cascade Binary Tagging Framework for Relational Triple Extraction**Zhepei Wei, Jianlin Su, Yue Wang, et al.*2020 · 732 citations*](https://md.research.elamur.ai/free/en/papers/wei-2020-novel-cascade-binary-tagging-framework/) 2. [**TPLinker: Single-stage Joint Extraction of Entities and Relations Through Token Pair Linking**Yucheng Wang, Bowen Yu, Yueyang Zhang, et al.*2020 · 527 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-tplinker-single-stage-joint-extraction/) 3. [**Text2Event: Controllable Sequence-to-Structure Generation for End-to-end Event Extraction**Yaojie Lu, Hongyu Lin, Jin Xu, et al.*2021 · 370 citations*](https://md.research.elamur.ai/free/en/papers/lu-2021-text2event-controllable-sequence-structure-generation/) 85 more papers of our library cite it; they have no page here yet. - [← back to](https://md.research.elamur.ai/free/en/papers/zeng-2018-extracting-relational-facts-end-end/) — Extracting Relational Facts by an End-to-End Neural Model with Copy Mechanism