{"total":19,"rows":[{"id":"2101.00345","title":"Modeling Fine-Grained Entity Types with Box Embeddings","created":"2021-01-02","cited_by_count":36,"area":null},{"id":"2109.05744","title":"Fine-grained Entity Typing via Label Reasoning","created":"2021-09-13","cited_by_count":22,"area":null},{"id":"2109.12520","title":"Entity Linking Meets Deep Learning: Techniques and Solutions","created":"2021-09-26","cited_by_count":22,"area":null},{"id":"2205.01826","title":"Unified Semantic Typing with Meaningful Label Inference","created":"2022-05-04","cited_by_count":18,"area":null},{"id":"2202.06167","title":"Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inference","created":"2022-02-12","cited_by_count":17,"area":null},{"id":"2205.12640","title":"Does Your Model Classify Entities Reasonably? Diagnosing and Mitigating Spurious Correlations in Entity Typing","created":"2022-05-25","cited_by_count":16,"area":null},{"id":"2204.00811","title":"Constrained Sequence-to-Tree Generation for Hierarchical Text Classification","created":"2022-04-02","cited_by_count":13,"area":null},{"id":"2308.05046","title":"RadGraph2: Modeling Disease Progression in Radiology Reports via Hierarchical Information Extraction","created":"2023-08-09","cited_by_count":11,"area":null},{"id":"2305.12802","title":"Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategy","created":"2023-05-22","cited_by_count":8,"area":null},{"id":"2404.03528","title":"BanglaAutoKG: Automatic Bangla Knowledge Graph Construction with Semantic Neural Graph Filtering","created":"2024-04-04","cited_by_count":5,"area":null},{"id":"2204.13957","title":"PIE: a Parameter and Inference Efficient Solution for Large Scale Knowledge Graph Embedding Reasoning","created":"2022-04-29","cited_by_count":4,"area":null},{"id":"2212.01581","title":"Modeling Label Correlations for Ultra-Fine Entity Typing with Neural Pairwise Conditional Random Field","created":"2022-12-03","cited_by_count":4,"area":null},{"id":"2112.09215","title":"Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction","created":"2021-12-16","cited_by_count":3,"area":null},{"id":"2310.07795","title":"Ontology Enrichment for Effective Fine-grained Entity Typing","created":"2023-10-11","cited_by_count":3,"area":null},{"id":"2102.02307","title":"Typing Errors in Factual Knowledge Graphs: Severity and Possible Ways Out","created":"2021-02-03","cited_by_count":2,"area":null},{"id":"2208.10081","title":"Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typing","created":"2022-08-22","cited_by_count":2,"area":null},{"id":"2210.09599","title":"Denoising Enhanced Distantly Supervised Ultrafine Entity Typing","created":"2022-10-18","cited_by_count":1,"area":null},{"id":"2101.11212","title":"FGNET-RH: Fine-Grained Named Entity Typing via Refinement in Hyperbolic Space","created":"2021-01-27","cited_by_count":0,"area":null},{"id":"2310.14596","title":"Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuning","created":"2023-10-23","cited_by_count":0,"area":null}],"next_cursor":null}