{"total":38,"rows":[{"id":"2203.07836","title":"Graph Pre-training for AMR Parsing and Generation","created":"2022-03-15","cited_by_count":55,"area":null},{"id":"2203.00633","title":"Transformer Grammars: Augmenting Transformer Language Models with Syntactic Inductive Biases at Scale","created":"2022-03-01","cited_by_count":41,"area":null},{"id":"2112.07790","title":"Maximum Bayes Smatch Ensemble Distillation for AMR Parsing","created":"2021-12-14","cited_by_count":29,"area":null},{"id":"2104.14674","title":"AMR Parsing with Action-Pointer Transformer","created":"2021-04-29","cited_by_count":25,"area":null},{"id":"2108.00104","title":"Structural Guidance for Transformer Language Models","created":"2021-07-30","cited_by_count":25,"area":null},{"id":"2110.15534","title":"Structure-aware Fine-tuning of Sequence-to-sequence Transformers for Transition-based AMR Parsing","created":"2021-10-29","cited_by_count":25,"area":null},{"id":"2205.00241","title":"A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction","created":"2022-04-30","cited_by_count":16,"area":null},{"id":"2104.08041","title":"Cost-effective End-to-end Information Extraction for Semi-structured Document Images","created":"2021-04-16","cited_by_count":14,"area":null},{"id":"2205.01464","title":"Inducing and Using Alignments for Transition-based AMR Parsing","created":"2022-05-03","cited_by_count":12,"area":null},{"id":"2206.07296","title":"Enhanced Knowledge Selection for Grounded Dialogues via Document Semantic Graphs","created":"2022-06-15","cited_by_count":11,"area":null},{"id":"2110.07855","title":"Hierarchical Curriculum Learning for AMR Parsing","created":"2021-10-15","cited_by_count":10,"area":null},{"id":"2310.05991","title":"Enhancing Document-level Event Argument Extraction with Contextual Clues and Role Relevance","created":"2023-10-08","cited_by_count":10,"area":null},{"id":"2106.06002","title":"Probabilistic, Structure-Aware Algorithms for Improved Variety, Accuracy, and Coverage of AMR Alignments","created":"2021-06-10","cited_by_count":9,"area":null},{"id":"2102.02189","title":"Bootstrapping Multilingual AMR with Contextual Word Alignments","created":"2021-02-03","cited_by_count":8,"area":null},{"id":"2305.19162","title":"An AMR-based Link Prediction Approach for Document-level Event Argument Extraction","created":"2023-05-30","cited_by_count":8,"area":null},{"id":"2407.17406","title":"Dependency Transformer Grammars: Integrating Dependency Structures into Transformer Language Models","created":"2024-07-24","cited_by_count":8,"area":null},{"id":"2306.13467","title":"Incorporating Graph Information in Transformer-based AMR Parsing","created":"2023-06-23","cited_by_count":7,"area":null},{"id":"2401.02034","title":"Text2MDT: Extracting Medical Decision Trees from Medical Texts","created":"2024-01-04","cited_by_count":6,"area":null},{"id":"2204.08875","title":"ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs","created":"2022-04-19","cited_by_count":5,"area":null},{"id":"2110.10431","title":"Discontinuous Grammar as a Foreign Language","created":"2021-10-20","cited_by_count":4,"area":null},{"id":"2112.07877","title":"Learning to Transpile AMR into SPARQL","created":"2021-12-15","cited_by_count":4,"area":null},{"id":"2205.12490","title":"Improve Event Extraction via Self-Training with Gradient Guidance","created":"2022-05-25","cited_by_count":3,"area":null},{"id":"2305.02386","title":"Approximating CKY with Transformers","created":"2023-05-03","cited_by_count":3,"area":null},{"id":"2107.04152","title":"Levi Graph AMR Parser using Heterogeneous Attention","created":"2021-07-09","cited_by_count":2,"area":null},{"id":"2210.12445","title":"Cross-domain Generalization for AMR Parsing","created":"2022-10-22","cited_by_count":2,"area":null},{"id":"2309.16254","title":"On the Challenges of Fully Incremental Neural Dependency Parsing","created":"2023-09-28","cited_by_count":2,"area":null},{"id":"2407.11393","title":"CIC-BART-SSA: Controllable Image Captioning with Structured Semantic Augmentation","created":"2024-07-16","cited_by_count":2,"area":null},{"id":"2502.01432","title":"Emergent Stack Representations in Modeling Counter Languages Using Transformers","created":"2025-02-03","cited_by_count":2,"area":null},{"id":"2508.03785","title":"SoilNet: A Multimodal Multitask Model for Hierarchical Classification of Soil Horizons","created":"2025-08-05","cited_by_count":2,"area":null},{"id":"2305.05311","title":"Structured Sentiment Analysis as Transition-based Dependency Graph Parsing","created":"2023-05-09","cited_by_count":1,"area":null},{"id":"2310.11964","title":"AMR Parsing with Causal Hierarchical Attention and Pointers","created":"2023-10-18","cited_by_count":1,"area":null},{"id":"2401.10189","title":"Chem-FINESE: Validating Fine-Grained Few-shot Entity Extraction through Text Reconstruction","created":"2024-01-18","cited_by_count":1,"area":null},{"id":"2405.09153","title":"Adapting Abstract Meaning Representation Parsing to the Clinical Narrative -- the SPRING THYME parser","created":"2024-05-15","cited_by_count":1,"area":null},{"id":"2210.11984","title":"Shift-Reduce Task-Oriented Semantic Parsing with Stack-Transformers","created":"2022-10-21","cited_by_count":0,"area":null},{"id":"2305.17273","title":"Slide, Constrain, Parse, Repeat: Synchronous SlidingWindows for Document AMR Parsing","created":"2023-05-26","cited_by_count":0,"area":null},{"id":"2310.08860","title":"Guiding AMR Parsing with Reverse Graph Linearization","created":"2023-10-13","cited_by_count":0,"area":null},{"id":"2605.13373","title":"Exploiting Pre-trained Encoder-Decoder Transformers for Sequence-to-Sequence Constituent Parsing","created":"2026-05-13","cited_by_count":0,"area":null},{"id":"2610.13236","title":"How Reliable are AMR Parser Outputs? Uncertainty Estimation for AMR Parsing","created":"2026-10-09","cited_by_count":0,"area":null}],"next_cursor":null}