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  1. May 19, 2023To address this issue, we introduce InstructIE, a bilingual instruction-based IE dataset, which covers 12 diverse domains. We propose KG2Instruction, a framework specifically for the automatic generation of such datasets. Additionally, we manually annotate the test set. Experimental results demonstrate that large language models trained with ...
  2. paperswithcode.com

    May 19, 2023To address this issue, we introduce InstructIE, a bilingual instruction-based IE dataset, which covers 12 diverse domains. We propose KG2Instruction, a framework specifically for the automatic generation of such datasets. Additionally, we manually annotate the test set. Experimental results demonstrate that large language models trained with ...
  3. Nov 27, 2024Recent works indicate that the main reason lies in the lack of extensive data on IE instructions. Note that the existing datasets on IE instructions not only have limited coverage but also involve high construction costs. To address this issue, we introduce InstructIE, a bilingual instruction-based IE dataset, which covers 12 diverse domains ...
  4. May 22, 2023INSTRUCTIE: A Bilingual Instruction-based Information Extraction Dataset Honghao Gui 1 ,2, Shuofei Qiao , Jintian Zhang 1,2, Hongbin Ye , Mengshu Sun 3, Lei Liang 2,3, Jeff Z. Pan4, Huajun Chen1,2, and Ningyu Zhang1 ⋆ 1 Zhejiang University, Hangzhou, China 2 Zhejiang University - Ant Group Joint Laboratory of Knowledge Graph, Hangzhou, China 3 Ant Group, Hangzhou, China
  5. link.springer.com

    From the comparisons between different scale versions of Baichuan2 on InstructIE-ZH and LLaMA2 on InstructIE-EN, as shown in Tables 3 and 4 (FT), we observe that model size plays a positive role in enhancing performance on instruction-based IE tasks. Moreover, even among models of the same scale, the initial capacity of the base model ...
  6. ar5iv.labs.arxiv.org

    Feb 29, 2024To facilitate research in this area, we construct the InstructIE dataset, which consists of 270,000 instances obtained through weak supervision from Chinese Wikipedia and an additional 1,000 high-quality crowdsourced annotations. We evaluate the performance of various baselines on the InstructIE, revealing promising results and indicating a ...
  7. ui.adsabs.harvard.edu

    To address this issue, we introduce InstructIE, a bilingual instruction-based IE dataset, which covers 12 diverse domains. We propose KG2Instruction, a framework specifically for the automatic generation of such datasets. Additionally, we manually annotate the test set. Experimental results demonstrate that large language models trained with ...
  8. huggingface.co

    May 19, 2023To facilitate research in this area, we construct a dataset called InstructIE, consisting of 270,000 weakly supervised data from Chinese Wikipedia and 1,000 high-quality crowdsourced annotated instances. We further evaluate the performance of various baseline models on the InstructIE dataset. The results reveal that although current models ...
  9. semanticscholar.org

    May 19, 2023Experimental results demonstrate that large language models trained with InstructIE can not only obtain better IE capabilities but also enhance zero-shot performance compared with baselines. Large language models can perform well on general natural language tasks, but their effectiveness is still suboptimal for information extraction (IE). Recent works indicate that the main reason lies in the ...
  10. semanticscholar.org

    A new Information Extraction task dubbed Instruction-based IE, which aims to ask the system to follow specific instructions or guidelines to extract information, is introduced and a dataset called InstructIE is constructed, consisting of 270,000 weakly supervised data from Chinese Wikipedia and 1,000 high-quality crowdsourced annotated instances. .
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