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Large Language Models (LLMs) demonstrate remarkable potential across various domains; however, they exhibit a significant performance gap in Information Extraction (IE).
CLUENER2020: fine-grained named entity recognition dataset and benchmark for chinese
Liang Xu, Yu Tong, Qianqian Dong, Yixuan Liao, Cong Yu, Yin Tian, Weitang Liu, Lu Li, and Xuanwei Zhang. 2020 · 2001
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GENIA corpus - a semantically annotated corpus for bio-textmining
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Fewrel: A large-scale supervised few-shot relation classification dataset with state-of-the-art evaluation
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Chinese NER using lattice LSTM
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Shuangjie Li, Wei He, Yabing Shi, Wenbin Jiang, Haijin Liang, Ye Jiang, Yang Zhang, Yajuan Lyu, and Yong Zhu. 2019 · 2019
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Ipre: a dataset for inter-personal relationship extraction
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Language models are few-shot learners
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Multi-sentence argument linking
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A unified MRC framework for named entity recognition
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Duee: A large-scale dataset for chinese event extraction in real-world scenarios
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ZS-BERT: towards zero-shot relation extraction with attribute representation learning
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Zihan Liu, Yan Xu, Tiezheng Yu, Wenliang Dai, Ziwei Ji, Samuel Cahyawijaya, Andrea Madotto, and Pascale Fung. 2021 · 2021
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Yizhu Jiao, Ming Zhong, Sha Li, Ruining Zhao, Siru Ouyang, Heng Ji, and Jiawei Han. 2023 · 2023
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Codeie: Large code generation models are better few-shot information extractors
Peng Li, Tianxiang Sun, Qiong Tang, Hang Yan, Yuanbin Wu, Xuanjing Huang, and Xipeng Qiu. 2023b · 2023
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Structured prediction as translation between augmented natural languages
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Glm: General language model pretraining with autoregressive blank infilling
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Large language model is not a good few-shot information extractor, but a good reranker for hard samples!
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Summarization is (almost) dead
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Gollie: Annotation guidelines improve zero-shot information-extraction
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Zero-shot information extraction via chatting with chatgpt
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Multimodal large language models: A survey
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YAYI-UIE: A chat-enhanced instruction tuning framework for universal information extraction
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Self-improving for zero-shot named entity recognition with large language models
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Large language models for generative information extraction: A survey
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Baichuan 2: Open large-scale language models
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2iner: Instructive and in-context learning on few-shot named entity recognition
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A survey of large language models
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