---
title: "Who cites Adversarial Training for Weakly — 62 citing papers"
description: "62 papers of the Elamur Research library cite «Adversarial Training for Weakly Supervised Event Detection», found in their bibliographies; the…"
canonical: "https://research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Adversarial Training for Weakly Supervised Event…](https://md.research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/) / cited by

# Who cites «Adversarial Training for Weakly Supervised Event Detection»

62 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 «Adversarial Training for Weakly Supervised Event Detection»](https://md.research.elamur.ai/free/en/papers/wang-2019-adversarial-training-weakly-supervised-event/)

1. **[MAVEN: A Massive General Domain Event Detection Dataset](https://md.research.elamur.ai/free/en/papers/wang-2020-maven-massive-general-domain-event/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Xiaozhi Wang, Ziqi Wang, Xu Han, et al.*2020 · 260 citations*
2. **[Doc2EDAG: An End-to-End Document-level Framework for Chinese Financial Event Extraction](https://md.research.elamur.ai/free/en/papers/zheng-2019-doc2edag-end-end-document-level/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Shun Zheng, Wei Cao, Wei Xu, et al.*2019 · 246 citations*
3. **[CLEVE: Contrastive Pre-training for Event Extraction](https://md.research.elamur.ai/free/en/papers/wang-2021-cleve-contrastive-pre-training-event/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Ziqi Wang, Xiaozhi Wang, Xu Han, et al.*2021 · 155 citations*
4. **[Contrastively Pre-trained Event Embeddings with Schema-free LLM Annotations](https://md.research.elamur.ai/free/en/papers/mtumbuka-2026-contrastively-pre-trained-event-embeddings/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Frank Mtumbuka, Steven Schockaert*2026*

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

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