Abstract
Information extraction is the automated retrieval of specific information related to a selected topic from a body of unstructured text. Generally, many NLP tasks can be categorized as information extraction tasks, such as named entity extraction (NER), relation extraction (RE), event extraction (EE), etc. To dealing with different IE tasks of different situation, we propose a prompt-based universal information extraction framework which is friendly to both research and industry scenarios.
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Zhao, F., Wang, Y., Kang, Y. (2022). A Prompt-Based UIE Framework. In: Zhang, N., Wang, M., Wu, T., Hu, W., Deng, S. (eds) CCKS 2022 - Evaluation Track. CCKS 2022. Communications in Computer and Information Science, vol 1711. Springer, Singapore. https://doi.org/10.1007/978-981-19-8300-9_18
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DOI: https://doi.org/10.1007/978-981-19-8300-9_18
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