Papers with ScdNER
ScdNER: Span-Based Consistency-Aware Document-Level Named Entity Recognition (2023.emnlp-main)
Copied to clipboard
| Challenge: | Named entity recognition (NER) is an important task for many natural language processing applications. |
| Approach: | They propose to fuse global features of tokens via word-based key-value memory to produce documentlevel encoding for token label prediction. |
| Outcome: | The proposed model can produce consistent and consistent predictions on word level with reduced impact of non-entity sequences and adaptive global feature fusion. |