---
title: "Who cites Abstract Meaning Representation for Sembanking —…"
description: "The papers of the Elamur Research library that cite «Abstract Meaning Representation for Sembanking», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/banarescu-2013-abstract-meaning-representation-sembanking/cited-by/page/4/"
---
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# Who cites «Abstract Meaning Representation for Sembanking» · page 4

853 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/banarescu-2013-abstract-meaning-representation-sembanking/)

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

1. [Which Sentence Representation is More Informative: An Analysis on Text Classification](https://aclanthology.org/2023.depling-1.2/) *— 2023 · Proceedings of the Seventh International Conference on Dependency Linguistics (Depling, GURT/SyntaxFest 2023)*
2. [Widely Interpretable Semantic Representation: Frameless Meaning Representation for Broader Applicability](https://arxiv.org/abs/2309.06460) *— 2023 · arXiv:2309.06460*
3. [World Models for Math Story Problems](https://aclanthology.org/2023.findings-acl.579/) *— 2023 · Findings of the Association for Computational Linguistics: ACL 2023*
4. [“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*
5. [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*
6. [A Tour of Explicit Multilingual Semantics: Word Sense Disambiguation, Semantic Role Labeling and Semantic Parsing](https://aclanthology.org/2022.aacl-tutorials.6/) *— 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: Tutorial Abstracts*
7. [A Two-Stage Method for Chinese AMR Parsing](https://arxiv.org/abs/2209.14512) *— 2022 · arXiv:2209.14512*
8. [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*
9. [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*
10. [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*
11. [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*
12. [Abstract Meaning Representation for Gesture](https://aclanthology.org/2022.lrec-1.169/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
13. [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*
14. [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*
15. [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*
16. [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*
17. [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*
18. [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*
19. [Can AMR Assist Legal and Logical Reasoning?](https://aclanthology.org/2022.findings-emnlp.112/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
20. [Cross-Domain Sentiment Classification using Semantic Representation](https://aclanthology.org/2022.findings-emnlp.22/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
21. [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)*
22. [DRS Parsing as Sequence Labeling](https://aclanthology.org/2022.starsem-1.19/) *— 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
23. [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*
24. [DocAMR: Multi-Sentence AMR Representation and Evaluation](https://md.research.elamur.ai/free/en/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*
25. [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*
26. [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*
27. [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*
28. [Evaluating Multilingual Sentence Representation Models in a Real Case Scenario](https://aclanthology.org/2022.lrec-1.314/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
29. [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)*
30. [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*
31. [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)*
32. [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*
33. [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)*
34. [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*
35. [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*
36. [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*
37. [Grounding Meaning Representation for Situated Reasoning](https://aclanthology.org/2022.aacl-tutorials.4/) *— 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: Tutorial Abstracts*
38. [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)*
39. [Hitachi at SemEval-2022 Task 10: Comparing Graph- and Seq2Seq-based Models Highlights Difficulty in Structured Sentiment Analysis](https://aclanthology.org/2022.semeval-1.188/) *— 2022 · Proceedings of the 16th International Workshop on Semantic Evaluation (SemEval-2022)*
40. [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*
41. [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)*
42. [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)*
43. [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*
44. [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*
45. [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)*
46. [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*
47. [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*
48. [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*
49. [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*
50. [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*
51. [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*
52. [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*
53. [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*
54. [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*
55. [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)*
56. [Opinion Piece: Can we Fix the Scope for Coreference?](https://md.research.elamur.ai/free/en/papers/zeldes-2022-opinion-piece-can-we-fix/) *— our card · 2022*
57. [Paraphrasing Techniques for Maritime QA system](https://arxiv.org/abs/2203.10854) *— 2022 · arXiv:2203.10854*
58. [Pathway2Text: Dataset and Method for Biomedical Pathway Description Generation](https://aclanthology.org/2022.findings-naacl.108/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
59. [PropBank Comes of Age–-Larger, Smarter, and more Diverse](https://md.research.elamur.ai/free/en/papers/pradhan-2022-propbank-comes-age-larger-smarter/) *— our card · 2022 · Proceedings of the 11th Joint Conference on Lexical and Computational Semantics*
60. [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*
61. [Reasoning with Language Model Prompting: A Survey](https://arxiv.org/abs/2212.09597) *— 2022 · arXiv:2212.09597*
62. [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*
63. [Revisiting the Boundary between ASR and NLU in the Age of Conversational Dialog Systems](https://aclanthology.org/2022.cl-1.8/) *— 2022 · Computational Linguistics*
64. [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)*
65. [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)*
66. [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*
67. [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)*
68. [Semantic Composition with PSHRG for Derivation Tree Reconstruction from Graph-Based Meaning Representations](https://aclanthology.org/2022.acl-long.372/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
69. [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*
70. [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)*
71. [Semantic Simplification for Sentiment Classification](https://aclanthology.org/2022.emnlp-main.757/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
72. [Semantic-based Pre-training for Dialogue Understanding](https://aclanthology.org/2022.coling-1.49/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
73. [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)*
74. [Simple and Effective Graph-to-Graph Annotation Conversion](https://aclanthology.org/2022.coling-1.484/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
75. [State of the Art in Artificial Intelligence applied to the Legal Domain](https://arxiv.org/abs/2204.07047) *— 2022 · arXiv:2204.07047*
76. [Strictly Breadth-First AMR Parsing](https://arxiv.org/abs/2211.03922) *— 2022 · arXiv:2211.03922*
77. [T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/) *— our card · 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
78. [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)*
79. [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)*
80. [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*
81. [Transferring Knowledge from Structure-aware Self-attention Language Model to Sequence-to-Sequence Semantic Parsing](https://aclanthology.org/2022.coling-1.280/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
82. [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*
83. [Turkish Universal Conceptual Cognitive Annotation](https://aclanthology.org/2022.lrec-1.10/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
84. [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)*
85. [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*
86. [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*
87. [Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/) *— our card · 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
88. [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*
89. [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)*
90. [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)*
91. [When More Data Hurts: A Troubling Quirk in Developing Broad-Coverage Natural Language Understanding Systems](https://aclanthology.org/2022.emnlp-main.789/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
92. [Zero-Shot Cross-lingual Semantic Parsing](https://aclanthology.org/2022.acl-long.285/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
93. [Étiquetage ou génération de séquences pour la compréhension automatique du langage en contexte d'interaction? (Sequence tagging or sequence generation for Natural Language Understanding ?)](https://aclanthology.org/2022.jeptalnrecital-taln.6/) *— 2022 · Actes de la 29e Conférence sur le Traitement Automatique des Langues Naturelles. Volume 1 : conférence principale*
94. [A Conditional Splitting Framework for Efficient Constituency Parsing](https://aclanthology.org/2021.acl-long.450/) *— 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)*
95. [A Corpus Study of Creating Rule-Based Enhanced Universal Dependencies for German](https://aclanthology.org/2021.law-1.9/) *— 2021 · Proceedings of the Joint 15th Linguistic Annotation Workshop (LAW) and 3rd Designing Meaning Representations (DMR) Workshop*
96. [A Differentiable Relaxation of Graph Segmentation and Alignment for AMR Parsing](https://aclanthology.org/2021.emnlp-main.714/) *— 2021 · Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing*
97. [A Graphical Interface for Curating Schemas](https://aclanthology.org/2021.acl-demo.19/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: System Demonstrations*
98. [A Transition-based Parser for Unscoped Episodic Logical Forms](https://aclanthology.org/2021.iwcs-1.18/) *— 2021 · Proceedings of the 14th International Conference on Computational Semantics (IWCS)*
99. [AMR Parsing with Action-Pointer Transformer](https://aclanthology.org/2021.naacl-main.443/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
100. [An analysis of document graph construction methods for AMR summarization](https://arxiv.org/abs/2111.13993) *— 2021 · arXiv:2111.13993*

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