Who cites «COMET-ATOMIC 2020: On Symbolic and Neural Commonsense Knowledge Graphs» · page 2
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- ComFact: A Benchmark for Linking Contextual Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Commonsense Knowledge Reasoning and Generation with Pre-trained Language Models: A Survey — 2022 · arXiv:2201.12438
- Conditional set generation using Seq2seq models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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- DiscoSense: Commonsense Reasoning with Discourse Connectives — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Do Children Texts Hold The Key To Commonsense Knowledge? — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Does Pre-training Induce Systematic Inference? How Masked Language Models Acquire Commonsense Knowledge — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- EvEntS ReaLM: Event Reasoning of Entity States via Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
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- Fire Burns, Sword Cuts: Commonsense Inductive Bias for Exploration in Text-based Games — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)
- Generative Entity Typing with Curriculum Learning — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Guiding Neural Story Generation with Reader Models — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Improving Event Representation via Simultaneous Weakly Supervised Contrastive Learning and Clustering — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Inferring the Reader: Guiding Automated Story Generation with Commonsense Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Knowledge Enhanced Reflection Generation for Counseling Dialogues — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Knowledge-Augmented Language Models for Cause-Effect Relation Classification — 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)
- Knowledge-Augmented Methods for Natural Language Processing — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Tutorial Abstracts
- Learning from Missing Relations: Contrastive Learning with Commonsense Knowledge Graphs for Commonsense Inference — 2022 · Findings of the Association for Computational Linguistics: ACL 2022
- MICO: A Multi-alternative Contrastive Learning Framework for Commonsense Knowledge Representation — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- MMEKG: Multi-modal Event Knowledge Graph towards Universal Representation across Modalities — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Mind the Gap! Injecting Commonsense Knowledge for Abstractive Dialogue Summarization — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Modelling Commonsense Properties Using Pre-Trained Bi-Encoders — 2022 · Proceedings of the 29th International Conference on Computational Linguistics
- Modularized Transfer Learning with Multiple Knowledge Graphs for Zero-shot Commonsense Reasoning — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- PInKS: Preconditioned Commonsense Inference with Minimal Supervision — 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 (Volume 1: Long Papers)
- PLM-based World Models for Text-based Games — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- PaCo: Preconditions Attributed to Commonsense Knowledge — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- PseudoReasoner: Leveraging Pseudo Labels for Commonsense Knowledge Base Population — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Reflect, Not Reflex: Inference-Based Common Ground Improves Dialogue Response Quality — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- SafeText: A Benchmark for Exploring Physical Safety in Language Models — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Symbolic Knowledge Distillation: from General Language Models to Commonsense Models — 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- System 1 + System 2 = Better World: Neural-Symbolic Chain of Logic Reasoning — 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022
- Think Before You Speak: Explicitly Generating Implicit Commonsense Knowledge for Response Generation — 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- ToKen: Task Decomposition and Knowledge Infusion for Few-Shot Hate Speech Detection — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Using Commonsense Knowledge to Answer Why-Questions — 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing
- Benchmarking Commonsense Knowledge Base Population with an Effective Evaluation Dataset — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- CEM: Commonsense-aware Empathetic Response Generation — 2021 · arXiv:2109.05739 · Proceedings of the AAAI Conference on Artificial Intelligence 2022
- CIDER: Commonsense Inference for Dialogue Explanation and Reasoning — 2021 · Proceedings of the 22nd Annual Meeting of the Special Interest Group on Discourse and Dialogue
- CRASS: A Novel Data Set and Benchmark to Test Counterfactual Reasoning of Large Language Models — 2021 · arXiv:2112.11941 · Proceedings of the 13th Language Resources and Evaluation Conference (LREC 2022), Marseille, France pp. 2126-2140 (2022) https://aclanthology.org/2022.lrec-1.229/
- Commonsense Knowledge in Word Associations and ConceptNet — 2021 · Proceedings of the 25th Conference on Computational Natural Language Learning
- Do Language Models Perform Generalizable Commonsense Inference? — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- ExplaGraphs: An Explanation Graph Generation Task for Structured Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Flexible Generation of Natural Language Deductions — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Improving Unsupervised Commonsense Reasoning Using Knowledge-Enabled Natural Language Inference — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Modeling Event Plausibility with Consistent Conceptual Abstraction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- Modeling Event-Pair Relations in External Knowledge Graphs for Script Reasoning — 2021 · Findings of the Association for Computational Linguistics: ACL-IJCNLP 2021
- Moral Stories: Situated Reasoning about Norms, Intents, Actions, and their Consequences — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- NegatER: Unsupervised Discovery of Negatives in Commonsense Knowledge Bases — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- On the Opportunities and Risks of Foundation Models — 2021 · arXiv:2108.07258
- Past, Present, and Future: Conversational Emotion Recognition through Structural Modeling of Psychological Knowledge — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
- Recent Advances in Natural Language Processing via Large Pre-Trained Language Models: A Survey — 2021 · arXiv:2111.01243
- Refined Commonsense Knowledge from Large-Scale Web Contents — 2021 · arXiv:2112.04596 (IEEE Transactions on Knowledge and Data Engineering, 2022)
- Relational World Knowledge Representation in Contextual Language Models: A Review — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- STaCK: Sentence Ordering with Temporal Commonsense Knowledge — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Shortcutted Commonsense: Data Spuriousness in Deep Learning of Commonsense Reasoning — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- SituatedQA: Incorporating Extra-Linguistic Contexts into QA — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- Think Before You Speak: Learning to Generate Implicit Knowledge for Response Generation by Self-Talk — 2021 · Proceedings of the 3rd Workshop on Natural Language Processing for Conversational AI
- WhyAct: Identifying Action Reasons in Lifestyle Vlogs — 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing
- ``I''m Not Mad'''': Commonsense Implications of Negation and Contradiction — 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies
- proScript: Partially Ordered Scripts Generation — 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021
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