Papers with multi-level annotation
Multi-layer Annotation of the Rigveda (L18-1)
Copied to clipboard
| Challenge: | Using a multi-level annotation, we present a corpus of the R. GVEDA . |
| Approach: | They propose a multi-level annotation of the R . GVEDA, a Sanskrit text composed in the 2. millenium BCE, and a basic argument identification algorithm to supplement missing verb-argument links. |
| Outcome: | The proposed model replaces verb-argument links by LSTM based model . the proposed model is based on a LS-based model to supplement missing verb-al arguments. |
Learning Nested Named Entity Recognition from Flat Annotations (2026.eacl-srw)
Copied to clipboard
| Challenge: | Named entity recognition (NER) requires expensive multi-level annotation. |
| Approach: | They evaluate four approaches to learning nested structure from flat annotations alone . on NEREL, a Russian benchmark, they find the best method achieves 26.37% inner F1 . |
| Outcome: | The proposed method closes 40% of the gap to full nested supervision on a Russian benchmark with 29 entity types where 21% of entities are nest. |