Natural Language Processing
modelscope/AdaSeq
AdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
🏷️ Named Entity Recognition⛏️ Information Extraction
PythonApache-2.0updated Nov 15, 2023
使用 RASA NLU 来构建中文自然语言理解系统(NLU)| Use RASA NLU to build a Chinese Natural Language Understanding System (NLU)
$ git clone https://github.com/Aguila-team/Chinese_NLU_by_using_RASA_NLU.gitAdaSeq: An All-in-One Library for Developing State-of-the-Art Sequence Understanding Models
API of Articut 中文斷詞 (兼具語意詞性標記):「斷詞」又稱「分詞」,是中文資訊處理的基礎。Articut 不用機器學習,不需資料模型,只用現代白話中文語法規則,即能達到 SIGHAN 2005 F1-measure 94% 以上,Recall 96% 以上的成績。
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Data from GitHub · snapshot Nov 13, 2026