Elamur Research
☰
home / papers / Graph based Neural Networks for Event Factuality… / cited by

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

  1. 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)
  2. 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)
  3. Modal Dependency Parsing via Biaffine Attention with Self-Loop — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
  4. 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)
  5. 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)
  6. MAVEN-FACT: A Large-scale Event Factuality Detection Dataset — 2024 · Findings of the Association for Computational Linguistics: EMNLP 2024
  7. 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
  8. Training LLMs to Recognize Hedges in Spontaneous Narratives — 2024 · SIGDIAL 2024
  9. Factuality Detection using Machine Translation – a Use Case for German Clinical Text — 2023 · Proceedings of the 19th Conference on Natural Language Processing (KONVENS 2023)
  10. Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
  11. Incorporating Factuality Inference to Identify Document-level Event Factuality — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  12. Towards Generative Event Factuality Prediction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
  13. Document-level Event Factuality Identification via Machine Reading Comprehension Frameworks with Transfer Learning — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  14. Examining Political Rhetoric with Epistemic Stance Detection — 2022 · Proceedings of the Fifth Workshop on Natural Language Processing and Computational Social Science (NLP+CSS)
  15. 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
  16. 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
  17. Re-Examining FactBank: Predicting the Author''s Presentation of Factuality — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
  18. 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)
  19. 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)
  20. 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
  21. He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics — our card · 2021
  22. 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)
  23. Improving Cross-Lingual Transfer for Event Argument Extraction with Language-Universal Sentence Structures — 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop
  24. Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
  25. 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)
  26. Improving Aspect-based Sentiment Analysis with Gated Graph Convolutional Networks and Syntax-based Regulation — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
  27. 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)
  28. What Does This Acronym Mean? Introducing a New Dataset for Acronym Identification and Disambiguation — 2020 · Proceedings of the 28th International Conference on Computational Linguistics