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# Who cites «Abstract Meaning Representation for Sembanking» · page 3

853 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/banarescu-2013-abstract-meaning-representation-sembanking/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-2/) · **3** · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-6/) · [7](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-7/) · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/banarescu-2013-abstract-meaning-representation-sembanking-9/)

1. [On the Relationship between Frames and Emotionality in Text](https://nejlt.ep.liu.se/article/view/4361) *— 2023 · Northern European Journal of Language Technology*
2. [Overview of CCL23-Eval Task 2: The Third Chinese Abstract Meaning Representation Parsing Evaluation](https://aclanthology.org/2023.ccl-3.8/) *— 2023 · Proceedings of the 22nd Chinese National Conference on Computational Linguistics (Volume 3: Evaluations)*
3. [PARSEME Meets Universal Dependencies: Getting on the Same Page in Representing Multiword Expressions](https://aclanthology.org/2023.nejlt-1.2/) *— 2023*
4. [ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation](https://md.mova.elamur.ai/free/en/docs/papers/huang-2023-paraamr-large-scale-syntactically-diverse/) *— our card · 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
5. [Pre-Trained Language-Meaning Models for Multilingual Parsing and Generation](https://aclanthology.org/2023.findings-acl.345/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
6. [Predicates and entities in Abstract Meaning Representation](https://aclanthology.org/2023.depling-1.4/) *— 2023 · Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)*
7. [ReCOGS: How Incidental Details of a Logical Form Overshadow an Evaluation of Semantic Interpretation](https://aclanthology.org/2023.tacl-1.96/) *— 2023*
8. [SMATCH++: Standardized and Extended Evaluation of Semantic Graphs](https://aclanthology.org/2023.findings-eacl.118/) *— 2023 · Findings of the Association for Computational Linguistics: EACL 2023*
9. [Semantic Structure Enhanced Event Causality Identification](https://aclanthology.org/2023.acl-long.610/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
10. [Semantically-informed Hierarchical Event Modeling](https://aclanthology.org/2023.starsem-1.31/) *— 2023 · Proceedings of the 12th Joint Conference on Lexical and Computational Semantics (*SEM 2023)*
11. [SimpLex: a lexical text simplification architecture](https://arxiv.org/abs/2304.07002) *— 2023 · arXiv:2304.07002 · Neural Computing and Applications, 35(8):6265-6280, 2023*
12. [Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing](https://arxiv.org/abs/2305.17273) *— 2023 · arXiv:2305.17273*
13. [Structural and Global Features for Comparing Semantic Representation Formalisms](https://aclanthology.org/2023.dmr-1.1/) *— 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations*
14. [The Art of Prompting: Event Detection based on Type Specific Prompts](https://aclanthology.org/2023.acl-short.111/) *— 2023 · Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
15. [The Sequence Notation: Catching Complex Meanings in Simple Graphs](https://aclanthology.org/2023.iwcs-1.20/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
16. [The argument–adjunct distinction in BERT: A FrameNet-based investigation](https://aclanthology.org/2023.iwcs-1.23/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
17. [Towards Controllable Natural Language Inference through Lexical Inference Types](https://arxiv.org/abs/2308.03581) *— 2023 · arXiv:2308.03581*
18. [UMR Annotation of Multiword Expressions](https://md.mova.elamur.ai/free/en/docs/papers/bonn-2023-umr-annotation-multiword-expressions/) *— our card · 2023 · Proceedings of the Fourth International Workshop on Designing Meaning Representations*
19. [UMR annotation of Chinese Verb compounds and related constructions](https://aclanthology.org/2023.cxgsnlp-1.9/) *— 2023 · Proceedings of the First International Workshop on Construction Grammars and NLP (CxGs+NLP, GURT/SyntaxFest 2023)*
20. [UMR-Writer 2.0: Incorporating a New Keyboard Interface and Workflow into UMR-Writer](https://aclanthology.org/2023.law-1.21/) *— 2023 · Proceedings of the 17th Linguistic Annotation Workshop (LAW-XVII)*
21. [Use Defines Possibilities: Reasoning about Object Function to Interpret and Execute Robot Instructions](https://aclanthology.org/2023.iwcs-1.30/) *— 2023 · Proceedings of the 15th International Conference on Computational Semantics*
22. [Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability](https://arxiv.org/abs/2309.06460) *— 2023 · arXiv:2309.06460*
23. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
24. [``You Are An Expert Linguistic Annotator'''': Limits of LLMs as Analyzers of Abstract Meaning Representation](https://aclanthology.org/2023.findings-emnlp.553/) *— 2023 · Findings of the Association for Computational Linguistics: EMNLP 2023*
25. [A Dynamic, Interpreted CheckList for Meaning-oriented NLG Metric Evaluation – through the Lens of Semantic Similarity Rating](https://aclanthology.org/2022.starsem-1.14/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
26. [A Two-Stage Method for Chinese AMR Parsing](https://arxiv.org/abs/2209.14512) *— 2022 · arXiv:2209.14512*
27. [A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction](https://aclanthology.org/2022.naacl-main.370/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
28. [AMR Alignment for Morphologically-rich and Pro-drop Languages](https://aclanthology.org/2022.acl-srw.13/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
29. [AMR-DA: Data Augmentation by Abstract Meaning Representation](https://aclanthology.org/2022.findings-acl.244/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
30. [ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs](https://aclanthology.org/2022.findings-naacl.190/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
31. [Abstract Meaning Representation for Gesture](https://aclanthology.org/2022.lrec-1.169/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
32. [Accounting for Language Effect in the Evaluation of Cross-lingual AMR Parsers](https://aclanthology.org/2022.coling-1.336/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
33. [Align-smatch: A Novel Evaluation Method for Chinese Abstract Meaning Representation Parsing based on Alignment of Concept and Relation](https://aclanthology.org/2022.lrec-1.638/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
34. [An Empirical Revisiting of Linguistic Knowledge Fusion in Language Understanding Tasks](https://aclanthology.org/2022.emnlp-main.684/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
35. [Automatic Enrichment of Abstract Meaning Representations](https://aclanthology.org/2022.law-1.19/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
36. [Better Smatch = Better Parser? AMR evaluation is not so simple anymore](https://aclanthology.org/2022.eval4nlp-1.4/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
37. [BiBL: AMR Parsing and Generation with Bidirectional Bayesian Learning](https://aclanthology.org/2022.coling-1.485/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
38. [Can AMR Assist Legal and Logical Reasoning?](https://aclanthology.org/2022.findings-emnlp.112/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
39. [Cross-Domain Sentiment Classification using Semantic Representation](https://aclanthology.org/2022.findings-emnlp.22/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
40. [DEAM: Dialogue Coherence Evaluation using AMR-based Semantic Manipulations](https://aclanthology.org/2022.acl-long.57/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [DRS Parsing as Sequence Labeling](https://aclanthology.org/2022.starsem-1.19/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
42. [Dialogue Meaning Representation for Task-Oriented Dialogue Systems](https://aclanthology.org/2022.findings-emnlp.17/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
43. [DocAMR: Multi-Sentence AMR Representation and Evaluation](https://md.mova.elamur.ai/free/en/docs/papers/naseem-2022-docamr-multi-sentence-amr-representation/) *— our card · 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
44. [Effect of Source Language on AMR Structure](https://aclanthology.org/2022.law-1.12/) *— 2022 · Proceedings of the 16th Linguistic Annotation Workshop (LAW-XVI) within LREC2022*
45. [Enhancing Knowledge Selection for Grounded Dialogues via Document Semantic Graphs](https://aclanthology.org/2022.naacl-main.202/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
46. [Evaluating Legal Accuracy of Neural Generators on the Generation of Criminal Court Dockets Description](https://aclanthology.org/2022.inlg-main.7/) *— 2022 · Proceedings of the 15th International Conference on Natural Language Generation*
47. [Exploring a POS-based Two-stage Approach for Improving Low-Resource AMR-to-Text Generation](https://aclanthology.org/2022.gem-1.49/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
48. [FactGraph: Evaluating Factuality in Summarization with Semantic Graph Representations](https://aclanthology.org/2022.naacl-main.236/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
49. [Fully-Semantic Parsing and Generation: the BabelNet Meaning Representation](https://aclanthology.org/2022.acl-long.121/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
50. [GRASP: Guiding Model with RelAtional Semantics Using Prompt for Dialogue Relation Extraction](https://aclanthology.org/2022.coling-1.33/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
51. [Graph Pre-training for AMR Parsing and Generation](https://aclanthology.org/2022.acl-long.415/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
52. [Graph Querying for Semantic Annotations](https://aclanthology.org/2022.isa-1.13/) *— 2022 · Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022*
53. [Graph-to-Text Generation with Dynamic Structure Pruning](https://aclanthology.org/2022.coling-1.534/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
54. [GraphQ IR: Unifying the Semantic Parsing of Graph Query Languages with One Intermediate Representation](https://aclanthology.org/2022.emnlp-main.394/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
55. [Hierarchical Curriculum Learning for AMR Parsing](https://aclanthology.org/2022.acl-short.37/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
56. [How much of UCCA can be predicted from AMR?](https://aclanthology.org/2022.isa-1.15/) *— 2022 · Proceedings of the 18th Joint ACL - ISO Workshop on Interoperable Semantic Annotation within LREC2022*
57. [Improving Compositional Generalization with Self-Training for Data-to-Text Generation](https://aclanthology.org/2022.acl-long.289/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
58. [Improving Neural Machine Translation with the Abstract Meaning Representation by Combining Graph and Sequence Transformers](https://aclanthology.org/2022.dlg4nlp-1.2/) *— 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)*
59. [Inducing and Using Alignments for Transition-based AMR Parsing](https://aclanthology.org/2022.naacl-main.80/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
60. [Introducing Frege to Fillmore: A FrameNet Dataset that Captures both Sense and Reference](https://aclanthology.org/2022.lrec-1.5/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
61. [KQA Pro: A Dataset with Explicit Compositional Programs for Complex Question Answering over Knowledge Base](https://aclanthology.org/2022.acl-long.422/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
62. [Linguistic Frameworks Go Toe-to-Toe at Neuro-Symbolic Language Modeling](https://aclanthology.org/2022.naacl-main.325/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
63. [Maximum Bayes Smatch Ensemble Distillation for AMR Parsing](https://aclanthology.org/2022.naacl-main.393/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
64. [Meaning Representations for Natural Languages: Design, Models and Applications](https://aclanthology.org/2022.emnlp-tutorials.1/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Tutorial Abstracts*
65. [Multilingual Abstract Meaning Representation for Celtic Languages](https://aclanthology.org/2022.cltw-1.1/) *— 2022 · Proceedings of the 4th Celtic Language Technology Workshop within LREC2022*
66. [Multilingual Extraction and Categorization of Lexical Collocations with Graph-aware Transformers](https://aclanthology.org/2022.starsem-1.8/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
67. [NLG-Metricverse: An End-to-End Library for Evaluating Natural Language Generation](https://aclanthology.org/2022.coling-1.306/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
68. [Natural Language Inference with Self-Attention for Veracity Assessment of Pandemic Claims](https://aclanthology.org/2022.naacl-main.107/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
69. [Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantification](https://aclanthology.org/2022.emnlp-main.314/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
70. [On the Limitations of Dataset Balancing: The Lost Battle Against Spurious Correlations](https://aclanthology.org/2022.findings-naacl.168/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
71. [Online Semantic Parsing for Latency Reduction in Task-Oriented Dialogue](https://aclanthology.org/2022.acl-long.110/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
72. [Opinion Piece: Can we Fix the Scope for Coreference?](https://md.mova.elamur.ai/free/en/docs/papers/zeldes-2022-opinion-piece-can-we-fix/) *— our card · 2022*
73. [Paraphrasing Techniques for Maritime QA system](https://arxiv.org/abs/2203.10854) *— 2022 · arXiv:2203.10854*
74. [PropBank Comes of Age–-Larger, Smarter, and more Diverse](https://md.mova.elamur.ai/free/en/docs/papers/pradhan-2022-propbank-comes-age-larger-smarter/) *— our card · 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
75. [QASem Parsing: Text-to-text Modeling of QA-based Semantics](https://aclanthology.org/2022.emnlp-main.528/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
76. [Reasoning with Language Model Prompting: A Survey](https://arxiv.org/abs/2212.09597) *— 2022 · arXiv:2212.09597*
77. [Retrofitting Multilingual Sentence Embeddings with Abstract Meaning Representation](https://aclanthology.org/2022.emnlp-main.433/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
78. [Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems](https://aclanthology.org/2022.cl-1.8/) *— 2022 · Computational Linguistics*
79. [Rewarding Semantic Similarity under Optimized Alignments for AMR-to-Text Generation](https://aclanthology.org/2022.acl-short.80/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
80. [SBERT studies Meaning Representations: Decomposing Sentence Embeddings into Explainable Semantic Features](https://aclanthology.org/2022.aacl-main.48/) *— 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)*
81. [SYGMA: A System for Generalizable and Modular Question Answering Over Knowledge Bases](https://aclanthology.org/2022.findings-emnlp.284/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
82. [Scene Graph Parsing via Abstract Meaning Representation in Pre-trained Language Models](https://aclanthology.org/2022.dlg4nlp-1.4/) *— 2022 · Proceedings of the 2nd Workshop on Deep Learning on Graphs for Natural Language Processing (DLG4NLP 2022)*
83. [Semantic Role Labeling Meets Definition Modeling: Using Natural Language to Describe Predicate-Argument Structures](https://aclanthology.org/2022.findings-emnlp.313/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
84. [Semantic Similarity as a Window into Vector- and Graph-Based Metrics](https://aclanthology.org/2022.gem-1.8/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
85. [Semantic-based Pre-training for Dialogue Understanding](https://aclanthology.org/2022.coling-1.49/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
86. [Sequence-to-sequence AMR Parsing with Ancestor Information](https://aclanthology.org/2022.acl-short.63/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
87. [State of the Art in Artificial Intelligence applied to the Legal Domain](https://arxiv.org/abs/2204.07047) *— 2022 · arXiv:2204.07047*
88. [Strictly Breadth-First AMR Parsing](https://arxiv.org/abs/2211.03922) *— 2022 · arXiv:2211.03922*
89. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.mova.elamur.ai/free/en/docs/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
90. [Tailor: Generating and Perturbing Text with Semantic Controls](https://aclanthology.org/2022.acl-long.228/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
91. [The Human Evaluation Datasheet: A Template for Recording Details of Human Evaluation Experiments in NLP](https://aclanthology.org/2022.humeval-1.6/) *— 2022 · Proceedings of the 2nd Workshop on Human Evaluation of NLP Systems (HumEval)*
92. [Towards Collaborative Neural-Symbolic Graph Semantic Parsing via Uncertainty](https://aclanthology.org/2022.findings-acl.328/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
93. [Transparent Semantic Parsing with Universal Dependencies Using Graph Transformations](https://aclanthology.org/2022.coling-1.367/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
94. [UDeasy: a Tool for Querying Treebanks in CoNLL-U Format](https://aclanthology.org/2022.cmlc-1.3/) *— 2022 · Proceedings of the Workshop on Challenges in the Management of Large Corpora (CMLC-10)*
95. [Universal Semantic Annotator: the First Unified API for WSD, SRL and Semantic Parsing](https://aclanthology.org/2022.lrec-1.282/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
96. [Unsupervised Paraphrasability Prediction for Compound Nominalizations](https://aclanthology.org/2022.naacl-main.237/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
97. [Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations](https://md.mova.elamur.ai/free/en/docs/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/) *— our card · 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
98. [Using Structured Content Plans for Fine-grained Syntactic Control in Pretrained Language Model Generation](https://aclanthology.org/2022.coling-1.514/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
99. [Variational Graph Autoencoding as Cheap Supervision for AMR Coreference Resolution](https://aclanthology.org/2022.acl-long.199/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
100. [Visual Semantic Parsing: From Images to Abstract Meaning Representation](https://aclanthology.org/2022.conll-1.19/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*

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