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# Who cites «Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures»

28 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/veyseh-2019-graph-based-neural-networks-event/)

1. [MAVEN-FACT: A Large-scale Event Factuality Detection Dataset](https://aclanthology.org/2024.findings-emnlp.651/) *— 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024*
2. [Training LLMs to Recognize Hedges in Dialogues about Roadrunner Cartoons](https://md.mova.elamur.ai/free/en/docs/papers/paige-2024-training-llms-recognize-hedges-dialogues/) *— our card · 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue*
3. [Training LLMs to Recognize Hedges in Spontaneous Narratives](https://arxiv.org/abs/2408.03319) *— 2024 · SIGDIAL 2024*
4. [Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations](https://aclanthology.org/2023.findings-emnlp.551/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
5. [Towards Generative Event Factuality Prediction](https://aclanthology.org/2023.findings-acl.44/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
6. [Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning](https://aclanthology.org/2022.coling-1.231/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
7. [Examining Political Rhetoric with Epistemic Stance Detection](https://aclanthology.org/2022.nlpcss-1.11/) *— 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)*
8. [MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text](https://aclanthology.org/2022.findings-emnlp.94/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
9. [Modal Dependency Parsing via Language Model Priming](https://aclanthology.org/2022.naacl-main.211/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
10. [Re-Examining FactBank: Predicting the Author''s Presentation of Factuality](https://aclanthology.org/2022.coling-1.66/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
11. [Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks](https://aclanthology.org/2021.wnut-1.6/) *— 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)*
12. [Factuality Assessment as Modal Dependency Parsing](https://aclanthology.org/2021.acl-long.122/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
13. [Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures](https://aclanthology.org/2021.naacl-main.273/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
14. [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://md.mova.elamur.ai/free/en/docs/papers/jiang-2021-he-thinks-he-knows-better/) *— our card · 2021*
15. [Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions](https://aclanthology.org/2021.textgraphs-1.4/) *— 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)*
16. [Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures](https://aclanthology.org/2021.wanlp-1.27/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop*
17. [Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification](https://aclanthology.org/2021.emnlp-main.207/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
18. [Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks](https://aclanthology.org/2020.emnlp-main.435/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
19. [Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation](https://aclanthology.org/2020.findings-emnlp.407/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
20. [Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning](https://aclanthology.org/2020.emnlp-main.719/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
21. [What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation](https://aclanthology.org/2020.coling-main.292/) *— 2020 · Proceedings of the 28th International Conference on Computational Linguistics*
22. chun-2025-modal-dependency-parsing-biaffine-attention
23. chun-2026-modal-dependency-parsing-as-structured
24. liu-2026-factuality-meta-factivity-cognitive-blueprint
25. murzaku-2024-beleaf-belief-prediction-as-tree
26. murzaku-2025-zero-shot-belief-hard-problem
27. sumait-2023-factuality-detection-machine-translation-use
28. zhang-2023-incorporating-factuality-inference-identify-document
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