DeepKE
zshot
| DeepKE | zshot | |
|---|---|---|
| 2 | 2 | |
| 2,973 | 323 | |
| 4.6% | 3.4% | |
| 9.5 | 6.6 | |
| 13 days ago | 3 months ago | |
| Python | Python | |
| MIT License | MIT License |
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For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
DeepKE
- Would this method work to increase the memory of the model? Saving summaries generated by a 2nd model and injecting them depending on the current topic.
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How to Unleash the Power of Large Language Models for Few-shot Relation Extraction?
Scaling language models have revolutionized widespread NLP tasks, yet little comprehensively explored few-shot relation extraction with large language models. In this paper, we investigate principal methodologies, in-context learning and data generation, for few-shot relation extraction via GPT-3.5 through exhaustive experiments. To enhance few-shot performance, we further propose task-related instructions and schema-constrained data generation. We observe that in-context learning can achieve performance on par with previous prompt learning approaches, and data generation with the large language model can boost previous solutions to obtain new state-of-the-art few-shot results on four widely-studied relation extraction datasets. We hope our work can inspire future research for the capabilities of large language models in few-shot relation extraction. Code is available in \url{https://github.com/zjunlp/DeepKE/tree/main/example/llm.
zshot
What are some alternatives?
llama_farm - Use local llama LLM or openai to chat, discuss/summarize your documents, youtube videos, and so on.
transferlearning - Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
GoLLIE - Guideline following Large Language Model for Information Extraction
FSL-Mate - FSL-Mate: A collection of resources for few-shot learning (FSL).
OpenNRE - An Open-Source Package for Neural Relation Extraction (NRE)
NCRFpp - NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.
NaLLM - Repository for the NaLLM project
bllip-parser - BLLIP reranking parser (also known as Charniak-Johnson parser, Charniak parser, Brown reranking parser) See http://pypi.python.org/pypi/bllipparser/ for Python module.
ARElight - Granular Viewer of Sentiments Between Entities in Massively Large Documents and Collections of Texts, powered by AREkit
VLDet - [ICLR 2023] PyTorch implementation of VLDet （https://arxiv.org/abs/2211.14843）