NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
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Updated
May 20, 2023 - Python
NLP 领域常见任务的实现,包括新词发现、以及基于pytorch的词向量、中文文本分类、实体识别、摘要文本生成、句子相似度判断、三元组抽取、预训练模型等。
NLP for human. A fast and easy-to-use natural language processing (NLP) toolkit, satisfying your imagination about NLP.
使用BERT模型做文本分类;面向工业用途
基于Bi-GRU + CRF 的中文机构名、人名识别, 支持google bert模型
a simple yet complete implementation of the popular BERT model
疫情期间网民情绪识别比赛baseline,使用BERT进行端到端的fine-tuning,datafountain平台,平台评测F1值0.716。
Combine Tecent's bert as service model and rasa_nlu for text classification
Berserker - BERt chineSE woRd toKenizER
Load Tensorflow pb file using Bert/TextCNNs, an ensemble model using Java.
Human labeled Chinese jokes and their verification codes in Python
Bert fine-tune model base on huggingface/transformers
Trabalho de conclusão do Laboratório de Processamento de Linguagem Natural da USP 2023. Um exemplo de como refinar um modelo de linguagem treinando em mandarim e adaptá-lo ao português com alguns caveats xD
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