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ner

Here are 1,434 public repositories matching this topic...

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services

  • UpdatedFeb 24, 2021
  • Python

中文人名语料库。人名生成器。中文姓名,姓氏,名字,称呼,日本人名,翻译人名,英文人名。可用于中文分词、人名实体识别。

  • UpdatedMar 27, 2024

中文 NLP 预处理、解析工具包,准确、高效、易用 A Chinese NLP Preprocessing & Parsing Packagewww.jionlp.com

  • UpdatedMar 3, 2025
  • Python

Jiagu深度学习自然语言处理工具 知识图谱关系抽取 中文分词 词性标注 命名实体识别 情感分析 新词发现 关键词 文本摘要 文本聚类

  • UpdatedMay 7, 2022
  • Python

Rust native ready-to-use NLP pipelines and transformer-based models (BERT, DistilBERT, GPT2,...)

  • UpdatedMar 6, 2025
  • Rust

该仓库主要记录 NLP 算法工程师相关的面试题

  • UpdatedOct 10, 2023

Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-classification, includes Word2Vec, BERT, and GPT2 Language Embedding.

  • UpdatedSep 3, 2024
  • Python

中文命名实体识别(包括多种模型:HMM,CRF,BiLSTM,BiLSTM+CRF的具体实现)

  • UpdatedJun 21, 2022
  • Python

Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)

  • UpdatedMar 11, 2023
  • Python

Named Entity Recognition (LSTM + CRF) - Tensorflow

  • UpdatedOct 16, 2020
  • Python

NCRF++, a Neural Sequence Labeling Toolkit. Easy use to any sequence labeling tasks (e.g. NER, POS, Segmentation). It includes character LSTM/CNN, word LSTM/CNN and softmax/CRF components.

  • UpdatedJun 30, 2022
  • Python

Chinese NER using Lattice LSTM. Code for ACL 2018 paper.

  • UpdatedApr 25, 2019
  • Python
FARM

🏡 Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.

  • UpdatedDec 20, 2023
  • Python

Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at:https://www.nuget.org/profiles/Recognizers.Text,https://www.npmjs.com/~recognizers.text

  • UpdatedFeb 19, 2025
  • C#
NLP-Knowledge-Graph

自然语言处理、知识图谱、对话系统三大技术研究与应用。

  • UpdatedFeb 8, 2025

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