{"total":21,"rows":[{"id":"2306.08302","title":"Unifying Large Language Models and Knowledge Graphs: A Roadmap","created":"2023-06-14","cited_by_count":668,"area":null},{"id":"2203.10545","title":"Parallel Instance Query Network for Named Entity Recognition","created":"2022-03-20","cited_by_count":19,"area":null},{"id":"2305.17104","title":"PromptNER: Prompt Locating and Typing for Named Entity Recognition","created":"2023-05-26","cited_by_count":17,"area":null},{"id":"2203.04665","title":"Nested Named Entity Recognition as Latent Lexicalized Constituency Parsing","created":"2022-03-09","cited_by_count":14,"area":null},{"id":"2206.10668","title":"BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing","created":"2022-06-21","cited_by_count":13,"area":null},{"id":"2503.19260","title":"Linguistic Blind Spots of Large Language Models","created":"2025-03-25","cited_by_count":6,"area":null},{"id":"2310.18345","title":"A Survey on Semantic Processing Techniques","created":"2023-10-22","cited_by_count":4,"area":null},{"id":"2408.12980","title":"MedDec: A Dataset for Extracting Medical Decisions from Discharge Summaries","created":"2024-08-23","cited_by_count":4,"area":null},{"id":"2305.02386","title":"Approximating CKY with Transformers","created":"2023-05-03","cited_by_count":3,"area":null},{"id":"2310.19462","title":"Constituency Parsing using LLMs","created":"2023-10-30","cited_by_count":2,"area":null},{"id":"2406.07812","title":"To be Continuous, or to be Discrete, Those are Bits of Questions","created":"2024-06-12","cited_by_count":2,"area":null},{"id":"2301.00399","title":"Semantic Operator Prediction and Applications","created":"2023-01-01","cited_by_count":1,"area":null},{"id":"2302.02275","title":"Unleashing the True Potential of Sequence-to-Sequence Models for Sequence Tagging and Structure Parsing","created":"2023-02-05","cited_by_count":1,"area":null},{"id":"2310.09501","title":"DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit","created":"2023-10-14","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":"2306.08925","title":"Opinion Tree Parsing for Aspect-based Sentiment Analysis","created":"2023-06-15","cited_by_count":0,"area":null},{"id":"2309.11888","title":"High-order Joint Constituency and Dependency Parsing","created":"2023-09-21","cited_by_count":0,"area":null},{"id":"2406.12779","title":"Composited-Nested-Learning with Data Augmentation for Nested Named Entity Recognition","created":"2024-06-18","cited_by_count":0,"area":null},{"id":"2501.19093","title":"Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations","created":"2025-01-31","cited_by_count":0,"area":null},{"id":"2505.16855","title":"Nested Named Entity Recognition as Single-Pass Sequence Labeling","created":"2025-05-22","cited_by_count":0,"area":null},{"id":"2601.07008","title":"Lexicalized Constituency Parsing for Middle Dutch: Low-resource Training and Cross-Domain Generalization","created":"2026-01-11","cited_by_count":0,"area":null}],"next_cursor":null}