[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/rudinger-2018-neural-models-factuality/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Neural Models of Factuality»

# Who cites «Neural Models of Factuality»

52 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/rudinger-2018-neural-models-factuality/)

1. [Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models](https://aclanthology.org/2024.emnlp-main.644/) *— 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing*
2. [How Can Client Motivational Language Inform Psychotherapy Agents?](https://aclanthology.org/2024.clpsych-1.3/) *— 2024 · Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024)*
3. [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*
4. [Training LLMs to Recognize Hedges in Spontaneous Narratives](https://arxiv.org/abs/2408.03319) *— 2024 · SIGDIAL 2024*
5. [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*
6. [Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models](https://aclanthology.org/2023.emnlp-main.335/) *— 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing*
7. [Towards Generative Event Factuality Prediction](https://aclanthology.org/2023.findings-acl.44/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
8. [BeSt: The Belief and Sentiment Corpus](https://aclanthology.org/2022.lrec-1.262/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
9. [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*
10. [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)*
11. [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*
12. [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*
13. [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*
14. [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)*
15. [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)*
16. [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*
17. [The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing](https://md.mova.elamur.ai/free/en/docs/papers/pyatkin-2021-possible-plausible-desirable-event-based/) *— our card · 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)*
18. [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*
19. [Causal Inference of Script Knowledge](https://aclanthology.org/2020.emnlp-main.612/) *— 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
20. [Detecting Stance in Media On Global Warming](https://aclanthology.org/2020.findings-emnlp.296/) *— 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020*
21. [Harnessing the linguistic signal to predict scalar inferences](https://md.mova.elamur.ai/free/en/docs/papers/schuster-2020-harnessing-linguistic-signal-predict-scalar/) *— our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
22. [The Universal Decompositional Semantics Dataset and Decomp Toolkit](https://aclanthology.org/2020.lrec-1.699/) *— 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference*
23. [Uncertain Natural Language Inference](https://aclanthology.org/2020.acl-main.774/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
24. [Universal Decompositional Semantic Parsing](https://aclanthology.org/2020.acl-main.746/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
25. [Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment](https://aclanthology.org/P19-1412/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
26. [Document-Level Event Factuality Identification via Adversarial Neural Network](https://aclanthology.org/N19-1287/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
27. [Fine-Grained Temporal Relation Extraction](https://aclanthology.org/P19-1280/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
28. [From ''F'' to ''A'' on the N.Y. Regents Science Exams: An Overview of the Aristo Project](https://arxiv.org/abs/1909.01958) *— 2019 · arXiv:1909.01958*
29. [Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures](https://md.mova.elamur.ai/free/en/docs/papers/veyseh-2019-graph-based-neural-networks-event/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
30. [How well do NLI models capture verb veridicality?](https://md.mova.elamur.ai/free/en/docs/papers/ross-2019-how-well-do-nli-models/) *— our card · 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
31. [Linguistic Knowledge and Transferability of Contextual Representations](https://aclanthology.org/N19-1112/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
32. [Literary Event Detection](https://aclanthology.org/P19-1353/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
33. [Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches](https://arxiv.org/abs/1904.01172) *— 2019 · arXiv:1904.01172*
34. [Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference](https://md.mova.elamur.ai/free/en/docs/papers/mccoy-2019-right-wrong-reasons-diagnosing-syntactic/) *— our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
35. [Unsupervised Discovery of Gendered Language through Latent-Variable Modeling](https://aclanthology.org/P19-1167/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
36. [Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation](https://aclanthology.org/D18-1007/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
37. [Cross-lingual Decompositional Semantic Parsing](https://aclanthology.org/D18-1194/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
38. [Lexicosyntactic Inference in Neural Models](https://aclanthology.org/D18-1501/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
39. [Neural-Davidsonian Semantic Proto-role Labeling](https://aclanthology.org/D18-1114/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
40. barbosa-2019-enabling-search-collaborative-assembly-causal
41. cai-2023-evaluating-zero-shot-event-structures
42. chun-2025-modal-dependency-parsing-biaffine-attention
43. chun-2026-modal-dependency-parsing-as-structured
44. cong-2025-overview-ccl25-eval-task-4
45. deng-2024-holistic-exploration-universal-decompositional-semantic
46. giordano-2023-mr4ap-meaning-representation-application-purposes
47. hu-2024-leveraging-codebook-knowledge-nli-chatgpt
48. liu-2026-factuality-meta-factivity-cognitive-blueprint
49. murzaku-2024-beleaf-belief-prediction-as-tree
50. murzaku-2025-zero-shot-belief-hard-problem
51. sumait-2023-factuality-detection-machine-translation-use
52. waldis-2024-holmes-ensuremath-recorder-benchmark-assess
- [← previous Who cites «Normalizing without Modernizing: Keeping Historical Wordforms of Middle French while Reducing Spelling Variants»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rubino-2024-normalizing-without-modernizing-keeping-historical/)
- [next → Who cites «Towards a Heuristic Categorization of Prepositional Phrases in English with WordNet»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/rudzicz-2010-towards-heuristic-categorization-prepositional-phrases/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)