# Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures

arXiv: https://arxiv.org/abs/1907.03227 · HTML: https://mlsanity.com/paper/1907.03227/

## Key facts

- Cited by 9 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 7 Jul 2019.

## Built on by (most cited first, 9 of 9)

- [He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics](https://mlsanity.com/paper/2107.00807/) (2021)
- [A Survey on Deep Learning Event Extraction: Approaches and Applications](https://mlsanity.com/paper/2107.02126/) (2021)
- [Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations](https://mlsanity.com/paper/2311.01273/) (2023)
- [MAVEN-Fact: A Large-scale Event Factuality Detection Dataset](https://mlsanity.com/paper/2407.15352/) (2024)
- [Examining Political Rhetoric with Epistemic Stance Detection](https://mlsanity.com/paper/2212.14486/) (2022)
- [Training LLMs to Recognize Hedges in Spontaneous Narratives](https://mlsanity.com/paper/2408.03319/) (2024)
- [MIST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text](https://mlsanity.com/paper/2212.07156/) (2022)
- [Factuality Detection using Machine Translation -- a Use Case for German Clinical Text](https://mlsanity.com/paper/2308.08827/) (2023)
- [Zero-Shot Belief: A Hard Problem for LLMs](https://mlsanity.com/paper/2502.08777/) (2025)

## Abstract (arXiv)

Event factuality prediction (EFP) is the task of assessing the degree to which an event mentioned in a sentence has happened. For this task, both syntactic and semantic information are crucial to identify the important context words. The previous work for EFP has only combined these information in a simple way that cannot fully exploit their coordination. In this work, we introduce a novel graph-based neural network for EFP that can integrate the semantic and syntactic information more effectively. Our experiments demonstrate the advantage of the proposed model for EFP.