mlsanityData to 7 Oct 2026

Hierarchical Entity Typing via Multi-level Learning to Rank

arXiv 2004.02286 ↗First posted 5 Apr 2020cs.CLcited by 18

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Abstract (arXiv)

We propose a novel method for hierarchical entity classification that embraces ontological structure at both training and during prediction. At training, our novel multi-level learning-to-rank loss compares positive types against negative siblings according to the type tree. During prediction, we define a coarse-to-fine decoder that restricts viable candidates at each level of the ontology based on already predicted parent type(s). We achieve state-of-the-art across multiple datasets, particularly with respect to strict accuracy.

Key facts. Cited by 18 papers in the map (data through 7 Oct 2026). First posted on arXiv 5 Apr 2020.

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Citing papers per year: 2021: 4; 2022: 7; 2023: 6; 2024: 0; 2025: 1.

18 papers.

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  1. 2021Ultra-Fine Entity Typing with Weak Supervision from a Masked Language Modelcited by 39
  2. 2023DREEAM: Guiding Attention with Evidence for Improving Document-Level Relation Extractioncited by 37
  3. 2021Modeling Fine-Grained Entity Types with Box Embeddingscited by 36
  4. 2021LOME: Large Ontology Multilingual Extractioncited by 23
  5. 2021Fine-grained Entity Typing via Label Reasoningcited by 22
  6. 2022Ultra-fine Entity Typing with Indirect Supervision from Natural Language Inferencecited by 17
  7. 2023A Unified View of Evaluation Metrics for Structured Predictioncited by 11
  8. 2022Few-Shot Fine-Grained Entity Typing with Automatic Label Interpretation and Instance Generationcited by 9
  9. 2022Generative Entity Typing with Curriculum Learningcited by 8
  10. 2023Ultra-Fine Entity Typing with Prior Knowledge about Labels: A Simple Clustering Based Strategycited by 8
  11. 2022Towards Better Document-level Relation Extraction via Iterative Inferencecited by 7
  12. 2022Cross-lingual Inference with A Chinese Entailment Graphcited by 4
6 more
  1. 2022Asking the Right Questions in Low Resource Template Extractioncited by 4
  2. 2023Ontology Enrichment for Effective Fine-grained Entity Typingcited by 3
  3. 2022Type-enriched Hierarchical Contrastive Strategy for Fine-Grained Entity Typingcited by 2
  4. 2023Hierarchical Event Groundingcited by 0
  5. 2023Learning to Correct Noisy Labels for Fine-Grained Entity Typing via Co-Prediction Prompt Tuningcited by 0
  6. 2025Agentic Meta-Orchestrator for Multi-task Copilotscited by 0