---
title: "Who cites Event Extraction via Dynamic — 269 citing papers"
description: "269 papers of the Elamur Research library cite «Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/cited-by/"
---
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[home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Event Extraction via Dynamic Multi-Pooling…](https://md.research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/) / cited by

# Who cites «Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks»

269 papers of our library cite it (of the 141,840 whose bibliographies we read) · 26 with a page here, the most cited first · [← back to «Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks»](https://md.research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/)

1. [**Representations and Architectures in Neural Sentiment Analysis for Morphologically Rich Languages: A Case Study from Modern Hebrew**Adam Amram, Anat Ben David, Reut Tsarfaty*2018 · 40 citations*](https://md.research.elamur.ai/free/en/papers/amram-2018-representations-architectures-neural-sentiment-analysis/)
2. [**A Survey on Automated Sarcasm Detection on Twitter arXiv:2202.02516**Bleau Moores, Vijay Mago*2022 · 19 citations*](https://md.research.elamur.ai/free/en/papers/moores-2022-survey-automated-sarcasm-detection-twitter/)
3. [**Event Detection Using Frame-Semantic Parser Proceedings of the Events and Stories in the News Workshop**Evangelia Spiliopoulou, Eduard Hovy, Teruko Mitamura*2017 · 17 citations*](https://md.research.elamur.ai/free/en/papers/spiliopoulou-2017-event-detection-frame-semantic-parser/)

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

- [← back to](https://md.research.elamur.ai/free/en/papers/chen-2015-event-extraction-dynamic-multi-pooling/) — Event Extraction via Dynamic Multi-Pooling Convolutional Neural Networks
