BABY MEME COIN 交易所

We present a new open-source and extensible knowledge extraction toolkit, called DeepKE, supporting standard fully supervised, low-resource few-shot and document-level scenarios. DeepKE implements various information extraction tasks, including named entity recognition, relation extraction and attribute extraction. With a unified framework, DeepKE allows developers and researchers to customize datasets and models to extract information from unstructured texts according to their requirements. Specifically, DeepKE not only provides various functional modules and model implementation for different functions and scenarios but also organizes all components by consistent frameworks to maintain sufficient modularity and extensibility. Moreover, DeepKE has quipped with comprehensive documents as well as Google Colab tutorials for beginners. Users can install DeepKE via 'install deepke'. We will provide maintenance to meet new requests, add new tasks, and fix bugs in the future.