Papers with FISH
FISH: A Financial Interactive System for Signal Highlighting (2023.eacl-demo)
Copied to clipboard
| Challenge: | Existing systems or studies lack interactivity and do not provide off-the-shelf signals. |
| Approach: | They propose an interactive system that extracts and highlights crucial financial signals . they integrate pre-trained BERT representations and a fine-tuned BERT highlighting model . |
| Outcome: | The proposed system extracts and highlights key financial signals efficiently and precisely. |
Unified Low-Resource Sequence Labeling by Sample-Aware Dynamic Sparse Finetuning (2023.emnlp-main)
Copied to clipboard
| Challenge: | Named Entity Recognition, Relation Extraction, Semantic Role Labeling are examples of sequence labeling problems that require finetuning to the target format. |
| Approach: | They propose a dynamic sparse finetuning strategy that selectively focuses on a fraction of parameters, informed by feedback from highly regressing examples. |
| Outcome: | The proposed approach improves performance in low-resource settings and in extreme low-level settings. |