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
- From Factuality to Meta-Factivity: A Cognitive Blueprint for Trustworthy LLMs — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Modal Dependency Parsing as Structured Prediction over Source-Cue Scope — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Modal Dependency Parsing via Biaffine Attention with Self-Loop — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Zero-Shot Belief: A Hard Problem for LLMs — 2025 · Proceedings of the 6th Workshop on Computational Approaches to Discourse, Context and Document-Level Inferences (CODI 2025)
- BeLeaf: Belief Prediction as Tree Generation — 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 3: System Demonstrations)
- MAVEN-FACT: A Large-scale Event Factuality Detection Dataset — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
- Training LLMs to Recognize Hedges in Dialogues about Roadrunner Cartoons — our card · 2024 · Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue
- Training LLMs to Recognize Hedges in Spontaneous Narratives — 2024 · SIGDIAL 2024
- Factuality Detection using Machine Translation – a Use Case for German Clinical Text — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
- Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Incorporating Factuality Inference to Identify Document-level Event Factuality — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Towards Generative Event Factuality Prediction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Examining Political Rhetoric with Epistemic Stance Detection — 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
- MiST: a Large-Scale Annotated Resource and Neural Models for Functions of Modal Verbs in English Scientific Text — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Modal Dependency Parsing via Language Model Priming — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Re-Examining FactBank: Predicting the Author''s Presentation of Factuality — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Does It Happen? Multi-hop Path Structures for Event Factuality Prediction with Graph Transformer Networks — 2021 · Proceedings of the Seventh Workshop on Noisy User-generated Text (W-NUT 2021)
- Factuality Assessment as Modal Dependency Parsing — 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)
- Graph Convolutional Networks for Event Causality Identification with Rich Document-level Structures — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics — our card · 2021
- Hierarchical Graph Convolutional Networks for Jointly Resolving Cross-document Coreference of Entity and Event Mentions — 2021 · Proceedings of the Fifteenth Workshop on Graph-Based Methods for Natural Language Processing (TextGraphs-15)
- Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures — 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop
- Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Event Detection: Gate Diversity and Syntactic Importance Scores for Graph Convolution Neural Networks — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Introducing Syntactic Structures into Target Opinion Word Extraction with Deep Learning — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics