Research map / Label-efficient and robust learning / Domain adaptation and generalization
Domain-Adapted Dependency Parsing for Cross-Domain Named Entity Recognition
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| Use DADP with cross-domain dependency parsing and domain adaptation instead of the strongest reported baseline | Cross-domain NER · MitRest | F1: 78.12 -> 78.92 | Helped |
| Use DADP with cross-domain dependency parsing and domain adaptation instead of the strongest reported baseline | Cross-domain NER · WNUT17 | F1: 42.45 -> 45.93 | Helped |
| Use DADP with cross-domain dependency parsing and domain adaptation instead of the strongest reported baseline | Cross-domain NER · NCBI | F1: 85.64 -> 86.42 | Helped |
| Add dependency-parsing learning as an auxiliary task (ablation) | NER model · WNUT17 | F1: 40.90 -> 44.80 | Helped |
| Add dependency-parsing learning as an auxiliary task (ablation) | NER model · NCBI | F1: 83.89 -> 85.78 | Helped |
| Add domain adaptation using MMD to the NER + DP model (ablation) | NER + DP · WNUT17 | F1: 44.80 -> 45.93 | Helped |
| Add domain adaptation using MMD to the NER + DP model (ablation) | NER + DP · NCBI | F1: 85.78 -> 86.42 | Helped |
Closest papers by meaning
- Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network (AAAI 2024 · similarity 0.90)
- MCL-NER: Cross-Lingual Named Entity Recognition via Multi-View Contrastive Learning (AAAI 2024 · similarity 0.88)
- ConsistNER: Towards Instructive NER Demonstrations for LLMs with the Consistency of Ontology and Context (AAAI 2024 · similarity 0.86)
- Span Graph Transformer for Document-Level Named Entity Recognition (AAAI 2024 · similarity 0.85)
- A Multi-Agent LLM Framework for Multi-Domain Low-Resource In-Context NER via Knowledge Retrieval, Disambiguation and Reflective Analysis (AAAI 2026 · similarity 0.85)
- UniversalNER: Targeted Distillation from Large Language Models for Open Named Entity Recognition (ICLR 2024 · similarity 0.85)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.