Who cites «Neural Models of Factuality»
- Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models — 2024 · Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing
- How Can Client Motivational Language Inform Psychotherapy Agents? — 2024 · Proceedings of the 9th Workshop on Computational Linguistics and Clinical Psychology (CLPsych 2024)
- 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 Spontaneous Narratives — 2024 · SIGDIAL 2024
- Finding Common Ground: Annotating and Predicting Common Ground in Spoken Conversations — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- Navigating the Grey Area: How Expressions of Uncertainty and Overconfidence Affect Language Models — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Towards Generative Event Factuality Prediction — 2023 · Findings of the Association for Computational Linguistics: ACL 2023
- BeSt: The Belief and Sentiment Corpus — 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference
- 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)
- He Thinks He Knows Better than the Doctors: BERT for Event Factuality Fails on Pragmatics — our card · 2021
- The Possible, the Plausible, and the Desirable: Event-Based Modality Detection for Language Processing — 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)
- Uncertain Local-to-Global Networks for Document-Level Event Factuality Identification — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Causal Inference of Script Knowledge — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP)
- Detecting Stance in Media On Global Warming — 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- Harnessing the linguistic signal to predict scalar inferences — our card · 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- The Universal Decompositional Semantics Dataset and Decomp Toolkit — 2020 · Proceedings of the Twelfth Language Resources and Evaluation Conference
- Uncertain Natural Language Inference — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Universal Decompositional Semantic Parsing — 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics
- Do You Know That Florence Is Packed with Visitors? Evaluating State-of-the-art Models of Speaker Commitment — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Document-Level Event Factuality Identification via Adversarial Neural Network — 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)
- Fine-Grained Temporal Relation Extraction — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- From ''F'' to ''A'' on the N.Y. Regents Science Exams: An Overview of the Aristo Project — 2019 · arXiv:1909.01958
- Graph based Neural Networks for Event Factuality Prediction using Syntactic and Semantic Structures — our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- How well do NLI models capture verb veridicality? — 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)
- Linguistic Knowledge and Transferability of Contextual Representations — 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)
- Literary Event Detection — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Recent Advances in Natural Language Inference: A Survey of Benchmarks, Resources, and Approaches — 2019 · arXiv:1904.01172
- Right for the Wrong Reasons: Diagnosing Syntactic Heuristics in Natural Language Inference — our card · 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Unsupervised Discovery of Gendered Language through Latent-Variable Modeling — 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Collecting Diverse Natural Language Inference Problems for Sentence Representation Evaluation — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Cross-lingual Decompositional Semantic Parsing — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Lexicosyntactic Inference in Neural Models — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- Neural-Davidsonian Semantic Proto-role Labeling — 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing
- barbosa-2019-enabling-search-collaborative-assembly-causal
- cai-2023-evaluating-zero-shot-event-structures
- chun-2025-modal-dependency-parsing-biaffine-attention
- chun-2026-modal-dependency-parsing-as-structured
- cong-2025-overview-ccl25-eval-task-4
- deng-2024-holistic-exploration-universal-decompositional-semantic
- giordano-2023-mr4ap-meaning-representation-application-purposes
- hu-2024-leveraging-codebook-knowledge-nli-chatgpt
- liu-2026-factuality-meta-factivity-cognitive-blueprint
- murzaku-2024-beleaf-belief-prediction-as-tree
- murzaku-2025-zero-shot-belief-hard-problem
- sumait-2023-factuality-detection-machine-translation-use
- waldis-2024-holmes-ensuremath-recorder-benchmark-assess
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