Who cites «TORQUE: A Reading Comprehension Dataset of Temporal Ordering Questions»
- It''s High Time: A Survey of Temporal Question Answering — 2026 · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- ChronoSense: Exploring Temporal Understanding in Large Language Models with Time Intervals of Events — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- ComplexTempQA: A 100m Dataset for Complex Temporal Question Answering — 2025 · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing
- Consistent Discourse-level Temporal Relation Extraction Using Large Language Models — 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025
- Extracting Military Event Temporal Relations via Relative Event Time Prediction and Virtual Adversarial Training — 2025 · Findings of the Association for Computational Linguistics: NAACL 2025
- LLM-Symbolic Integration for Robust Temporal Tabular Reasoning — 2025 · Findings of the Association for Computational Linguistics: ACL 2025
- Temporal Relation Classification: An XAI Perspective — 2025 · Proceedings of the Joint 25th Nordic Conference on Computational Linguistics and 11th Baltic Conference on Human Language Technologies (NoDaLiDa/Baltic-HLT 2025)
- Temporal reasoning for timeline summarisation in social media — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- UnSeenTimeQA: Time-Sensitive Question-Answering Beyond LLMs'' Memorization — 2025 · Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Chaining Event Spans for Temporal Relation Grounding — 2024 · Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics (Volume 1: Long Papers)
- DocScript: Document-level Script Event Prediction — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Getting Sick After Seeing a Doctor? Diagnosing and Mitigating Knowledge Conflicts in Event Temporal Reasoning — 2024 · Findings of the Association for Computational Linguistics: NAACL 2024
- QA-based Event Start-Points Ordering for Clinical Temporal Relation Annotation — 2024 · Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)
- Temporal Validity Change Prediction — 2024 · Findings of the Association for Computational Linguistics: ACL 2024
- An Overview Of Temporal Commonsense Reasoning and Acquisition — 2023 · arXiv:2308.00002
- Benchmarks for Automated Commonsense Reasoning: A Survey — 2023 · arXiv:2302.04752
- Event Temporal Relation Extraction with Bayesian Translational Model — 2023 · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics
- Faking Fake News for Real Fake News Detection: Propaganda-Loaded Training Data Generation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Generic Temporal Reasoning with Differential Analysis and Explanation — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning — 2023 · arXiv:2305.16646
- MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document — 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023
- TempTabQA: Temporal Question Answering for Semi-Structured Tables — 2023 · Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing
- Towards Benchmarking and Improving the Temporal Reasoning Capability of Large Language Models — 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- DCT-Centered Temporal Relation Extraction — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- DocTime: A Document-level Temporal Dependency Graph Parser — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Event-Centric Question Answering via Contrastive Learning and Invertible Event Transformation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Go Back in Time: Generating Flashbacks in Stories with Event Temporal Prompts — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- How about Time? Probing a Multilingual Language Model for Temporal Relations — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Improving Event Temporal Relation Classification via Auxiliary Label-Aware Contrastive Learning — 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics
- Improving Time Sensitivity for Question Answering over Temporal Knowledge Graphs — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Learning to Decompose: Hypothetical Question Decomposition Based on Comparable Texts — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Time-Aware Language Models as Temporal Knowledge Bases — 2022
- Toward Building a Language Model for Understanding Temporal Commonsense — 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop
- Understand before Answer: Improve Temporal Reading Comprehension via Precise Question Understanding — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- What Makes Reading Comprehension Questions Difficult? — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- A Dataset for Answering Time-Sensitive Questions — 2021 · arXiv:2108.06314
- Benchmarking Machine Reading Comprehension: A Psychological Perspective — 2021 · Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume
- COM2SENSE: A Commonsense Reasoning Benchmark with Complementary Sentences — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Conditional Generation of Temporally-ordered Event Sequences — 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)
- Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- ESTER: A Machine Reading Comprehension Dataset for Reasoning about Event Semantic Relations — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Extracting Event Temporal Relations via Hyperbolic Geometry — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Extracting Temporal Event Relation with Syntax-guided Graph Transformer — 2021 · arXiv:2104.09570
- ForecastQA: A Question Answering Challenge for Event Forecasting with Temporal Text Data — 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)
- Neural Language Modeling for Contextualized Temporal Graph Generation — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Probing Language Models for Understanding of Temporal Expressions — 2021 · Proceedings of the Fourth BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP
- SPARTQA: A Textual Question Answering Benchmark for Spatial Reasoning — our card · 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Salience-Aware Event Chain Modeling for Narrative Understanding — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- TIMEDIAL: Temporal Commonsense Reasoning in Dialog — 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)
- TIMERS: Document-level Temporal Relation Extraction — 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)
- Temporal Reasoning on Implicit Events from Distant Supervision — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- What Ingredients Make for an Effective Crowdsourcing Protocol for Difficult NLU Data Collection Tasks? — 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)
- ``Nice Try, Kiddo'''': Investigating Ad Hominems in Dialogue Responses — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- ECONET: Effective Continual Pretraining of Language Models for Event Temporal Reasoning — 2020 · arXiv:2012.15283
- Easy, Reproducible and Quality-Controlled Data Collection with CROWDAQ — 2020 · Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing: System Demonstrations
- Temporal Reasoning in Natural Language Inference — our card · 2020 · Findings of the Association for Computational Linguistics: EMNLP 2020
- anh-2025-robust-vietnamese-date-arithmetic-question
- bruyn-2022-20q-overlap-free-world-knowledge
- demir-2026-timeres-turkish-benchmark-evaluating-temporal
- duc-2025-vlsp-2025-shared-task-vietnamese
- goel-2026-chronocept-instilling-sense-time-machines
- gong-2025-eventrelbench-comprehensive-benchmark-evaluating-event
- khincha-2025-leveraging-llm-synchronizing-information-across
- kordjamshidi-2024-spatial-temporal-language-understanding-representation
- le-2025-dp-ens-durationqa-dual-prompt
- shankarampeta-2025-transienttables-evaluating-llms-reasoning-temporally
- wang-2025-aligning-constraints-data-efficient-language
- xiao-2023-context-helps-determine-spatial-knowledge
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