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title: "Semantic parsing & meaning representation — papers, page 2"
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# 🧾 Semantic parsing & meaning representation

120 papers · page 2 of 2 · 26–120 · the most cited first · [all topics](https://md.research.elamur.ai/free/en/topics/)

From sentences to formal meaning: logical forms, AMR, and natural language to queries.

[← prev](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) [1](https://md.research.elamur.ai/free/en/topics/semantic-parsing/) **2**

26. [**emrQA: A Large Corpus for Question Answering on Electronic Medical Records**Anusri Pampari, Preethi Raghavan, Jennifer Liang, et al.*2018 · 285 citations*](https://md.research.elamur.ai/free/en/papers/pampari-2018-emrqa-large-corpus-question-answering/)
27. [**Lexical Generalization in CCG Grammar Induction for Semantic Parsing**Tom Kwiatkowski, Luke Zettlemoyer, Sharon Goldwater, et al.*2011 · 283 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2011-lexical-generalization-ccg-grammar-induction/)
28. [**Semantic Parsing for Task Oriented Dialog using Hierarchical Representations**Sonal Gupta, Rushin Shah, Mrinal Mohit, et al.*2018 · 280 citations*](https://md.research.elamur.ai/free/en/papers/gupta-2018-semantic-parsing-task-oriented-dialog/)
29. [**RESDSQL: Decoupling Schema Linking and Skeleton Parsing for Text-to-SQL**Haoyang Li, Jing Zhang, Cuiping Li, et al.*2023 · 277 citations*](https://md.research.elamur.ai/free/en/papers/li-2023-resdsql-decoupling-schema-linking-skeleton/)
30. [**Representing Schema Structure with Graph Neural Networks for Text-to-SQL Parsing**Ben Bogin, Jonathan Berant, Matt Gardner*2019 · 272 citations*](https://md.research.elamur.ai/free/en/papers/bogin-2019-representing-schema-structure-graph-neural/)
31. [**A Transition-based Algorithm for AMR Parsing**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 268 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-transition-based-algorithm-amr-parsing/)
32. [**Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing**Xi Victoria Lin, Richard Socher, Caiming Xiong*2020 · 261 citations*](https://md.research.elamur.ai/free/en/papers/lin-2020-bridging-textual-tabular-data-cross/)
33. [**CoSQL: A Conversational Text-to-SQL Challenge Towards Cross-Domain Natural Language Interfaces to Databases**Tao Yu, Rui Zhang, Heyang Er, et al.*2019 · 261 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-cosql-conversational-text-sql-challenge/)
34. [**Language to Logical Form with Neural Attention**Li Dong, Mirella Lapata*2016 · 255 citations*](https://md.research.elamur.ai/free/en/papers/dong-2016-language-logical-form-neural-attention/)
35. [**Learning Context-Dependent Mappings from Sentences to Logical Form**Luke Zettlemoyer, Michael Collins*2009 · 246 citations*](https://md.research.elamur.ai/free/en/papers/zettlemoyer-2009-learning-context-dependent-mappings-sentences/)
36. [**MTOP: A Comprehensive Multilingual Task-Oriented Semantic Parsing Benchmark**Haoran Li, Abhinav Arora, Shuohui Chen, et al.*2021 · 239 citations*](https://md.research.elamur.ai/free/en/papers/li-2021-mtop-comprehensive-multilingual-task-oriented/)
37. [**RAT-SQL: Relation-Aware Schema Encoding and Linking for Text-to-SQL Parsers**Bailin Wang, Richard Shin, Xiaodong Liu, et al.*2020 · 239 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-rat-sql-relation-aware-schema/)
38. [**Broad-coverage CCG Semantic Parsing with AMR**Yoav Artzi, Kenton Lee, Luke Zettlemoyer*2015 · 228 citations*](https://md.research.elamur.ai/free/en/papers/artzi-2015-broad-coverage-ccg-semantic-parsing/)
39. [**SParC: Cross-Domain Semantic Parsing in Context**Tao Yu, Rui Zhang, Michihiro Yasunaga, et al.*2019 · 227 citations*](https://md.research.elamur.ai/free/en/papers/yu-2019-sparc-cross-domain-semantic-parsing/)
40. [**Semantic Parsing via Staged Query Graph Generation: Question Answering with Knowledge Base**Wen-tau Yih, Ming-Wei Chang, Xiaodong He, et al.*2015 · 203 citations*](https://md.research.elamur.ai/free/en/papers/yih-2015-semantic-parsing-staged-query-graph/)
41. [**AMR Parsing via Graph-Sequence Iterative Inference**Deng Cai, Wai Lam*2020 · 168 citations*](https://md.research.elamur.ai/free/en/papers/cai-2020-amr-parsing-graph-sequence-iterative/)
42. [**Structure-Grounded Pretraining for Text-to-SQL**Xiang Deng, Ahmed Hassan Awadallah, Christopher Meek, et al.*2021 · 166 citations*](https://md.research.elamur.ai/free/en/papers/deng-2021-structure-grounded-pretraining-text-sql/)
43. [**Abstract Meaning Representation for Multi-Document Summarization**Kexin Liao, Logan Lebanoff, Fei Liu*2018 · 166 citations*](https://md.research.elamur.ai/free/en/papers/liao-2018-abstract-meaning-representation-multi-document/)
44. [**Frame-Semantic Parsing with Softmax-Margin Segmental RNNs and a Syntactic Scaffold**Swabha Swayamdipta, Sam Thomson, Chris Dyer, et al.*2017 · 160 citations*](https://md.research.elamur.ai/free/en/papers/swayamdipta-2017-frame-semantic-parsing-softmax-margin/)
45. [**Semantic Neural Machine Translation Using AMR**Linfeng Song, Daniel Gildea, Yue Zhang, et al.*2019 · 159 citations*](https://md.research.elamur.ai/free/en/papers/song-2019-semantic-neural-machine-translation-amr/)
46. [**Graph Pre-training for AMR Parsing and Generation**Xuefeng Bai, Yulong Chen, Yue Zhang*2022 · 153 citations*](https://md.research.elamur.ai/free/en/papers/bai-2022-graph-pre-training-amr-parsing/)
47. [**Generation from Abstract Meaning Representation using Tree Transducers**Jeffrey Flanigan, Chris Dyer, Noah A. Smith, et al.*2016 · 152 citations*](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/)
48. [**Investigating Pretrained Language Models for Graph-to-Text Generation**Leonardo F. R. Ribeiro, Martin Schmitt, Hinrich Schütze, et al.*2021 · 149 citations*](https://md.research.elamur.ai/free/en/papers/ribeiro-2021-investigating-pretrained-language-models-graph/)
49. [**Aligning English Strings with Abstract Meaning Representation Graphs**Nima Pourdamghani, Yang Gao, Ulf Hermjakob, et al.*2014 · 143 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/)
50. [**Neural Semantic Parsing by Character-based Translation: Experiments with Abstract Meaning Representations**Rik van Noord, Johan Bos*2017 · 137 citations*](https://md.research.elamur.ai/free/en/papers/noord-2017-neural-semantic-parsing-character-based/)
51. [**The Parallel Meaning Bank: Towards a Multilingual Corpus of Translations Annotated with Compositional Meaning Representations**Lasha Abzianidze, Johannes Bjerva, Kilian Evang, et al.*2017 · 134 citations*](https://md.research.elamur.ai/free/en/papers/abzianidze-2017-parallel-meaning-bank-multilingual-corpus/)
52. [**Scaling Semantic Parsers with On-the-Fly Ontology Matching**Tom Kwiatkowski, Eunsol Choi, Yoav Artzi, et al.*2013 · 134 citations*](https://md.research.elamur.ai/free/en/papers/kwiatkowski-2013-scaling-semantic-parsers-fly-ontology/)
53. [**Generation by Inverting a Semantic Parser that Uses Statistical Machine Translation**Yuk Wah Wong, Raymond Mooney*2007 · 134 citations*](https://md.research.elamur.ai/free/en/papers/wong-2007-generation-inverting-semantic-parser-that/)
54. [**An Incremental Parser for Abstract Meaning Representation**Marco Damonte, Shay B. Cohen, Giorgio Satta*2017 · 117 citations*](https://md.research.elamur.ai/free/en/papers/damonte-2017-incremental-parser-abstract-meaning-representation/)
55. [**Boosting Transition-based AMR Parsing with Refined Actions and Auxiliary Analyzers**Chuan Wang, Nianwen Xue, Sameer Pradhan*2015 · 115 citations*](https://md.research.elamur.ai/free/en/papers/wang-2015-boosting-transition-based-amr-parsing/)
56. [**Crowdsourcing Question-Answer Meaning Representations**Julian Michael, Gabriel Stanovsky, Luheng He, et al.*2018 · 112 citations*](https://md.research.elamur.ai/free/en/papers/michael-2018-crowdsourcing-question-answer-meaning-representations/)
57. [**Generating English from Abstract Meaning Representations**Nima Pourdamghani, Kevin Knight, Ulf Hermjakob*2016 · 111 citations*](https://md.research.elamur.ai/free/en/papers/pourdamghani-2016-generating-english-abstract-meaning-representations/)
58. [**Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation**Michael Pust, Ulf Hermjakob, Kevin Knight, et al.*2015 · 109 citations*](https://md.research.elamur.ai/free/en/papers/pust-2015-parsing-english-into-abstract-meaning/)
59. [**AMR-To-Text Generation with Graph Transformer**Tianming Wang, Xiaojun Wan, Hanqi Jin*2020 · 108 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-amr-text-generation-graph-transformer/)
60. [**AMR-to-text Generation with Synchronous Node Replacement Grammar**Linfeng Song, Xiaochang Peng, Yue Zhang, et al.*2017 · 108 citations*](https://md.research.elamur.ai/free/en/papers/song-2017-amr-text-generation-synchronous-node/)
61. [**Not an Interlingua, But Close: Comparison of English AMRs to Chinese and Czech**Nianwen Xue, Ondřej Bojar, Jan Hajič, et al.*2014 · 106 citations*](https://md.research.elamur.ai/free/en/papers/xue-2014-not-interlingua-but-close-comparison/)
62. [**A Joint Sequential and Relational Model for Frame-Semantic Parsing**Bishan Yang, Tom Mitchell*2017 · 98 citations*](https://md.research.elamur.ai/free/en/papers/yang-2017-joint-sequential-relational-model-frame/)
63. [**Probabilistic Frame-Semantic Parsing**Dipanjan Das, Nathan Schneider, Desai Chen, et al.*2010 · 87 citations*](https://md.research.elamur.ai/free/en/papers/das-2010-probabilistic-frame-semantic-parsing/)
64. [**CAMR at SemEval-2016 Task 8: An Extended Transition-based AMR Parser**Chuan Wang, Sameer Pradhan, Xiaoman Pan, et al.*2016 · 80 citations*](https://md.research.elamur.ai/free/en/papers/wang-2016-camr-semeval-2016-task-8/)
65. [**AMR Parsing with an Incremental Joint Model**Junsheng Zhou, Feiyu Xu, Hans Uszkoreit, et al.*2016 · 79 citations*](https://md.research.elamur.ai/free/en/papers/zhou-2016-amr-parsing-incremental-joint-model/)
66. [**DuSQL: A Large-Scale and Pragmatic Chinese Text-to-SQL Dataset**Lijie Wang, Ao Zhang, Kun Wu, et al.*2020 · 63 citations*](https://md.research.elamur.ai/free/en/papers/wang-2020-dusql-large-scale-pragmatic-chinese/)
67. [**Squib: Expressive Power of Abstract Meaning Representations**Johan Bos*2016 · 62 citations*](https://md.research.elamur.ai/free/en/papers/bos-2016-squib-expressive-power-abstract-meaning/)
68. [**Annotation of Tense and Aspect Semantics for Sentential AMR**Lucia Donatelli, Michael Regan, William Croft, et al.*2018 · 57 citations*](https://md.research.elamur.ai/free/en/papers/donatelli-2018-annotation-tense-aspect-semantics-sentential/)
69. [**Translation by Quasi Logical Form Transfer**Hiyan Alshawi, David Carter, Manny Rayner, et al.*1991 · 54 citations*](https://md.research.elamur.ai/free/en/papers/alshawi-1991-translation-quasi-logical-form-transfer/)
70. [**Towards a Decomposable Metric for Explainable Evaluation of Text Generation from AMR**Juri Opitz, Anette Frank*2021 · 50 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-decomposable-metric-explainable-evaluation-text/)
71. [**Weisfeiler-Leman in the Bamboo: Novel AMR Graph Metrics and a Benchmark for AMR Graph Similarity**Juri Opitz, Angel Daza, Anette Frank*2021 · 47 citations*](https://md.research.elamur.ai/free/en/papers/opitz-2021-weisfeiler-leman-bamboo-novel-amr/)
72. [**Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation**Thiago Castro Ferreira, Iacer Calixto, Sander Wubben, et al.*2017 · 46 citations*](https://md.research.elamur.ai/free/en/papers/ferreira-2017-linguistic-realisation-as-machine-translation/)
73. [**Semi-Supervised Frame-Semantic Parsing for Unknown Predicates**Dipanjan Das, Noah A. Smith*2011 · 41 citations*](https://md.research.elamur.ai/free/en/papers/das-2011-semi-supervised-frame-semantic-parsing/)
74. [**Evaluating FrameNet-style semantic parsing: the role of coverage gaps in FrameNet**Alexis Palmer, Caroline Sporleder*2010 · 41 citations*](https://md.research.elamur.ai/free/en/papers/palmer-2010-evaluating-framenet-style-semantic-parsing/)
75. [**Open Text Semantic Parsing Using FrameNet and WordNet**Lei Shi, Rada Mihalcea*2004 · 30 citations*](https://md.research.elamur.ai/free/en/papers/shi-2004-open-text-semantic-parsing-framenet/)
76. [**Factorising AMR generation through syntax**Kris Cao, Stephen Clark*2019 · 28 citations*](https://md.research.elamur.ai/free/en/papers/cao-2019-factorising-amr-generation-through-syntax/)
77. [**A Structured Syntax-Semantics Interface for English-AMR Alignment**Ida Szubert, Adam Lopez, Nathan Schneider*2018 · 26 citations*](https://md.research.elamur.ai/free/en/papers/szubert-2018-structured-syntax-semantics-interface-english/)
78. [**Dealing with Co-reference in Neural Semantic Parsing**Rik van Noord, Johan Bos*2017 · 26 citations*](https://md.research.elamur.ai/free/en/papers/noord-2017-dealing-co-reference-neural-semantic/)
79. [**ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation**Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, et al.*2023 · 24 citations*](https://md.research.elamur.ai/free/en/papers/huang-2023-paraamr-large-scale-syntactically-diverse/)
80. [**DocAMR: Multi-Sentence AMR Representation and Evaluation**Tahira Naseem, Austin Blodgett, Sadhana Kumaravel, et al.*2022 · 24 citations*](https://md.research.elamur.ai/free/en/papers/naseem-2022-docamr-multi-sentence-amr-representation/)
81. [**A Human Evaluation of AMR-to-English Generation Systems**Emma Manning, Shira Wein, Nathan Schneider*2020 · 24 citations*](https://md.research.elamur.ai/free/en/papers/manning-2020-human-evaluation-amr-english-generation/)
82. [**A Double-Graph Based Framework for Frame Semantic Parsing**Ce Zheng, Xudong Chen, Runxin Xu, et al.*2022 · 20 citations*](https://md.research.elamur.ai/free/en/papers/zheng-2022-double-graph-based-framework-frame/)
83. [**Unsupervised AMR-Dependency Parse Alignment**Wei-Te Chen, Martha Palmer*2017 · 20 citations*](https://md.research.elamur.ai/free/en/papers/chen-2017-unsupervised-amr-dependency-parse-alignment/)
84. [**RIGOTRIO at SemEval-2017 Task 9: Combining Machine Learning and Grammar Engineering for AMR Parsing and Generation**Normunds Gruzitis, Didzis Gosko, Guntis Barzdins*2017 · 19 citations*](https://md.research.elamur.ai/free/en/papers/gruzitis-2017-rigotrio-semeval-2017-task-9/)
85. [**Assessing the Cross-linguistic Utility of Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 17 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-assessing-cross-linguistic-utility-abstract/)
86. [**Event Detection Using Frame-Semantic Parser**Evangelia Spiliopoulou, Eduard Hovy, Teruko Mitamura*2017 · 17 citations*](https://md.research.elamur.ai/free/en/papers/spiliopoulou-2017-event-detection-frame-semantic-parser/)
87. [**Lost in Translationese? Reducing Translation Effect Using Abstract Meaning Representation**Shira Wein, Nathan Schneider*2024 · 16 citations*](https://md.research.elamur.ai/free/en/papers/wein-2024-lost-translationese-reducing-translation-effect/)
88. [**Mapping AMR to UMR: Resources for Adapting Existing Corpora for Cross-Lingual Compatibility**Julia Bonn, Skatje Myers, Jens E. L. Van Gysel, et al.*2023 · 15 citations*](https://md.research.elamur.ai/free/en/papers/bonn-2023-mapping-amr-umr-resources-adapting/)
89. [**Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations**Kuan-Hao Huang, Varun Iyer, Anoop Kumar, et al.*2022 · 15 citations*](https://md.research.elamur.ai/free/en/papers/huang-2022-unsupervised-syntactically-controlled-paraphrase-generation/)
90. [**Joint Universal Syntactic and Semantic Parsing**Elias Stengel-Eskin, Kenton Murray, Sheng Zhang, et al.*2021 · 15 citations*](https://md.research.elamur.ai/free/en/papers/eskin-2021-joint-universal-syntactic-semantic-parsing/)
91. [**Ar-Spider: Text-to-SQL in Arabic**Saleh Almohaimeed, Saad Almohaimeed, Mansour Al Ghanim, et al.*2024 · 13 citations*](https://md.research.elamur.ai/free/en/papers/almohaimeed-2024-ar-spider-text-sql-arabic/)
92. [**AMR-TST: Abstract Meaning Representation-based Text Style Transfer**Kaize Shi, Xueyao Sun, Li He, et al.*2023 · 11 citations*](https://md.research.elamur.ai/free/en/papers/shi-2023-amr-tst-abstract-meaning-representation/)
93. [**T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation**Anubhav Jangra, Preksha Nema, Aravindan Raghuveer*2022 · 11 citations*](https://md.research.elamur.ai/free/en/papers/jangra-2022-t-star-truthful-style-transfer/)
94. [**Linear Cross-document Event Coreference Resolution with X-AMR**Shafiuddin Rehan Ahmed, George Arthur Baker, Evi Judge, et al.*2024 · 9 citations*](https://md.research.elamur.ai/free/en/papers/ahmed-2024-linear-cross-document-event-coreference/)
95. [**Open-source Frame Semantic Parsing**David Chanin*2023 · 9 citations*](https://md.research.elamur.ai/free/en/papers/chanin-2023-open-source-frame-semantic-parsing/)
96. [**Referenceless Parsing-Based Evaluation of AMR-to-English Generation**Emma Manning, Nathan Schneider*2021 · 9 citations*](https://md.research.elamur.ai/free/en/papers/manning-2021-referenceless-parsing-based-evaluation-amr/)
97. [**Deterministic natural language generation from meaning representations for machine translation**Alastair Butler*2016 · 9 citations*](https://md.research.elamur.ai/free/en/papers/butler-2016-deterministic-natural-language-generation-meaning/)
98. [**Survey of Abstract Meaning Representation: Then, Now, Future**Behrooz Mansouri*2025 · 8 citations*](https://md.research.elamur.ai/free/en/papers/mansouri-2025-survey-abstract-meaning-representation-then/)
99. [**Measuring Fine-Grained Semantic Equivalence with Abstract Meaning Representation**Shira Wein, Zhuxin Wang, Nathan Schneider*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/wein-2023-measuring-fine-grained-semantic-equivalence/)
100. [**Meaning Representation of English Prepositional Phrase Roles: SNACS Supersenses vs. Tectogrammatical Functors**Wesley Scivetti, Nathan Schneider*2023 · 3 citations*](https://md.research.elamur.ai/free/en/papers/scivetti-2023-meaning-representation-english-prepositional-phrase/)
101. [**Prompt Engineering Techniques for Context-dependent Text-to-SQL in Arabic**Saleh Almohaimeed, May Alsofyani, Saad Almohaimeed, et al.*2025 · 2 citations*](https://md.research.elamur.ai/free/en/papers/almohaimeed-2025-prompt-engineering-techniques-context-dependent/)
102. [**Bridging Semantic Frameworks: mapping DRS onto AMR**Siyana Pavlova, Maxime Amblard, Bruno Guillaume*2023 · 2 citations*](https://md.research.elamur.ai/free/en/papers/pavlova-2023-bridging-semantic-frameworks-mapping-drs/)
103. [**A Partially Rule-Based Approach to AMR Generation**Emma Manning*2019 · 2 citations*](https://md.research.elamur.ai/free/en/papers/manning-2019-partially-rule-based-approach-amr/)
104. [**Sema System for the DMR 2026 Shared Task: Multistage UMR Parsing with Qwen3-4B**Rémi de Vergnette, Maxime Amblard*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-sema-system-dmr-2026-shared/)
105. [**Word Alignment-Based Evaluation of Uniform Meaning Representations**Daniel Zeman, Federica Gamba*2026 · 1 citation*](https://md.research.elamur.ai/free/en/papers/zeman-2026-word-alignment-based-evaluation-uniform/)
106. [**Generating Text from Uniform Meaning Representation**Emma Markle, Reihaneh Iranmanesh, Shira Wein*2025 · 1 citation*](https://md.research.elamur.ai/free/en/papers/markle-2025-generating-text-uniform-meaning-representation/)
107. [**Compositional Meaning Representations in LLMs: a Critical Review of Probing Studies**Rémy Marro*2026*](https://md.research.elamur.ai/free/en/papers/marro-2026-compositional-meaning-representations-llms-critical/)
108. [**Extracting First Order Logic formulas from graphical semantic representations**Rémi de Vergnette, Vincent Tourneur, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-extracting-first-order-logic-formulas/)
109. [**Meaning Representations as Variational Quantum Circuits**Tilen Gaetano Limbäck-Stokin, Tanishka A. Birdavade, Kin Ian Lo, et al.*2026*](https://md.research.elamur.ai/free/en/papers/stokin-2026-meaning-representations-as-variational-quantum/)
110. [**Modelling Idiomatic Expressions in Abstract Meaning Representation**Venera Gareeva, Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/gareeva-2026-modelling-idiomatic-expressions-abstract-meaning/)
111. [**Modular Neural Machine Translation with a Semantic Pivot - Pilot Study Using AMR**Wenyang Gao, Yaxuan Li, Yunxin Bao, et al.*2026*](https://md.research.elamur.ai/free/en/papers/gao-2026-modular-neural-machine-translation-semantic/)
112. [**Non-literal Meaning Representation in the Brain during Naturalistic Listening**Zhengwu Ma, Yuhan Huang, Chengcheng Wang, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ma-2026-non-literal-meaning-representation-brain/)
113. [**Regression-Tested Compositional Semantics: A Graphical Development Environment for Glue and Description-by-Analysis**Mark-Matthias Zymla, Kascha Kruschwitz*2026*](https://md.research.elamur.ai/free/en/papers/zymla-2026-regression-tested-compositional-semantics-graphical/)
114. [**Retrieval-augmented Chain-of-thought Prompting Method for Chinese Frame Semantic Parsing (基于检索增强思维提示的汉语框架语义解析方法)**Yingxu Li (李迎旭), Tao Chen (陈涛), Binyang Li (李斌阳), et al.*2026*](https://md.research.elamur.ai/free/en/papers/li-2026-retrieval-augmented-chain/)
115. [**Semantic Parsing for Evaluating Large Language Models: Separating Linguistic Abilities with YARN**Rémi DE VERGNETTE, Maxime Amblard*2026*](https://md.research.elamur.ai/free/en/papers/vergnette-2026-semantic-parsing-evaluating-large-language/)
116. [**SWAN: Semantic Watermarking with Abstract Meaning Representation**Ziping Ye, Gourab Dey, Christos Christodoulopoulos, et al.*2026*](https://md.research.elamur.ai/free/en/papers/ye-2026-swan-semantic-watermarking-abstract-meaning/)
117. [**Syntax is the Key to Semantics: Combining Universal Dependencies and Abstract Meaning Representation**Johannes Heinecke*2026*](https://md.research.elamur.ai/free/en/papers/heinecke-2026-syntax-is-key-semantics-combining/)
118. [**TrAinMR: an Annotator Training Website for Abstract Meaning Representation**Mina Yang, Shira Wein*2026*](https://md.research.elamur.ai/free/en/papers/yang-2026-trainmr-annotator-training-website-abstract/)
119. [**A Survey of Semantic Representation Methods for Natural Language Understanding (面向自然语言理解的语义表示方法综述)**Xiang Zhang (张翔), Shizhu He (何世柱), Yuanzhe Zhang (张元哲), et al.*2025*](https://md.research.elamur.ai/free/en/papers/zhang-2025-semantic-representation-methods/)
120. [**The Role of PropBank Sense IDs in AMR-to-text Generation and Text-to-AMR Parsing**Thu Hoang, Mina Yang, Shira Wein*2025*](https://md.research.elamur.ai/free/en/papers/hoang-2025-role-propbank-sense-ids-amr/)

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