GoLLIE: Annotation Guidelines improve Zero-Shot Information-Extraction
Large Language Models (LLMs) combined with instruction tuning have made significant progress when generalizing to unseen tasks. However, they have been less successful in Information Extraction (IE), lagging behind task-specific models. Typically, IE tasks are characterized by complex annotation guidelines that describe the task and give examples to humans. Previous attempts to leverage such information have failed, even with the largest models, as they are not able to follow the guidelines out of the box. In this paper, we propose GoLLIE (Guideline-following Large Language Model for IE), a model able to improve zero-shot results on unseen IE tasks by virtue of being fine-tuned to comply with annotation guidelines. Comprehensive evaluation empirically demonstrates that GoLLIE is able to generalize to and follow unseen guidelines, outperforming previous attempts at zero-shot information extraction. The ablation study shows that detailed guidelines are key for good results.
PDF AbstractCode
TACRED
BC5CDR
ACE 2005
WikiEvents
CrossNER
Results from the Paper
Ranked #1 on
Zero-shot Named Entity Recognition (NER)
on HarveyNER
(using extra training data)
| Task | Dataset | Model | Metric Name | Metric Value | Global Rank | Uses Extra Training Data |
Benchmark |
|---|---|---|---|---|---|---|---|
| Named Entity Recognition (NER) | ACE 2005 | GoLLIE | F1 | 89.6 | # 2 | ||
| Relation Extraction | ACE 2005 | GoLLIE | RE Micro F1 | 70.1 | # 3 | ||
| Named Entity Recognition (NER) | BC5CDR | GoLLIE | F1 | 88.4 | # 13 | ||
| Zero-shot Named Entity Recognition (NER) | Broad Twitter Corpus | GoLLIE | Entity F1 | 51.4 | # 1 | ||
| Named Entity Recognition (NER) | CoNLL 2003 (English) | GoLLIE | F1 | 93.1 | # 26 | ||
| Zero-shot Named Entity Recognition (NER) | CrossNER | GoLLIE | AI | 61.6 | # 1 | ||
| Literature | 62.7 | # 1 | |||||
| Music | 68.4 | # 1 | |||||
| Politics | 60.2 | # 1 | |||||
| Science | 56.3 | # 1 | |||||
| Zero-shot Named Entity Recognition (NER) | HarveyNER | GoLLIE | Entity F1 | 41.3 | # 1 | ||
| Named Entity Recognition (NER) | NCBI-disease | GoLLIE | F1 | 86.5 | # 23 | ||
| Event Argument Extraction | WikiEvents | GoLLIE | F1 (Zero-Shot) | 52.5 | # 2 | ||
| Zero-shot Named Entity Recognition (NER) | WikiEvents | GoLLIE | Entity F1 | 81.3 | # 1 | ||
| Named Entity Recognition (NER) | WNUT 2017 | GoLLIE | F1 | 54.3 | # 9 |
