{"total":23,"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":"2110.05419","title":"Bottom-Up Constituency Parsing and Nested Named Entity Recognition with Pointer Networks","created":"2021-10-11","cited_by_count":21,"area":null},{"id":"2110.07480","title":"Fusing Heterogeneous Factors with Triaffine Mechanism for Nested Named Entity Recognition","created":"2021-10-14","cited_by_count":18,"area":null},{"id":"2110.06865","title":"Semantic Role Labeling as Dependency Parsing: Exploring Latent Tree Structures Inside Arguments","created":"2021-10-13","cited_by_count":14,"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":"2109.08079","title":"Context-NER : Contextual Phrase Generation at Scale","created":"2021-09-16","cited_by_count":11,"area":null},{"id":"2203.09975","title":"BIOS: An Algorithmically Generated Biomedical Knowledge Graph","created":"2022-03-18","cited_by_count":10,"area":null},{"id":"2205.13434","title":"Jointly Learning Span Extraction and Sequence Labeling for Information Extraction from Business Documents","created":"2022-05-26","cited_by_count":4,"area":null},{"id":"2303.10870","title":"Multi-task Transformer with Relation-attention and Type-attention for Named Entity Recognition","created":"2023-03-20","cited_by_count":4,"area":null},{"id":"2108.06444","title":"A New Entity Extraction Method Based on Machine Reading Comprehension","created":"2021-08-14","cited_by_count":3,"area":null},{"id":"2210.04738","title":"A dynamic programming algorithm for span-based nested named-entity recognition in O(n^2)","created":"2022-10-10","cited_by_count":3,"area":null},{"id":"2212.00953","title":"Few-Shot Nested Named Entity Recognition","created":"2022-12-02","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":"2310.09501","title":"DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit","created":"2023-10-14","cited_by_count":1,"area":null},{"id":"2407.04801","title":"Revisiting Structured Sentiment Analysis as Latent Dependency Graph Parsing","created":"2024-07-05","cited_by_count":1,"area":null},{"id":"2204.11467","title":"Local Hypergraph-based Nested Named Entity Recognition as Query-based Sequence Labeling","created":"2022-04-25","cited_by_count":0,"area":null},{"id":"2307.00370","title":"Improving Text Matching in E-Commerce Search with A Rationalizable, Intervenable and Fast Entity-Based Relevance Model","created":"2023-07-01","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},{"id":"2602.11163","title":"Nested Named Entity Recognition in Plasma Physics Research Articles","created":"2026-01-17","cited_by_count":0,"area":null},{"id":"2607.09666","title":"Knowledge Graphs Meet Graph Neural Networks: A Comprehensive Survey","created":"2026-05-12","cited_by_count":0,"area":null}],"next_cursor":null}