jiangnanboy / t5-onnx-correctorLinks
t5-model-onnx,中文拼写纠错,Chinese spelling correction。
☆14Updated 2 years ago
Alternatives and similar repositories for t5-onnx-corrector
Users that are interested in t5-onnx-corrector are comparing it to the libraries listed below
Sorting:
- 中文文本纠错模型,keras实现☆74Updated 3 years ago
- 文本智能校对大赛(Chinese Text Correction)的baseline☆67Updated 2 years ago
- benchmark of KgCLUE, with different models and methods☆27Updated 3 years ago
- 基于模板的文本纠错;Automatically Mining Error Templates for Grammatical Error Correction☆40Updated 2 years ago
- CCL2022汉语学习者文本纠错评测任务赛道二——CGED-8第一名解决方案☆54Updated 2 years ago
- deep training task☆29Updated 2 years ago
- 基于规则的文本纠错系统。☆121Updated 3 years ago
- 开课吧&后厂理工学院_百度NLP项目2:试题数据集多标签文本分类 Models: FastText TextCNN GCN BERT et al.☆48Updated 5 years ago
- 基于seq2edit (Gector) 的中文文本纠错。☆28Updated 2 years ago
- Code & Data for our Paper "NaSGEC: Multi-Domain Chinese Grammatical Error Correction for Native Speaker Texts" (ACL 2023 Findings)☆89Updated 3 months ago
- 长文本相似度模型☆21Updated last year
- 基于PaddleNLP开源的抽取式UIE进行医学命名实体识别(torch实现)☆43Updated 2 years ago
- 基于bert进行中文文本纠错☆235Updated last year
- ☆19Updated 4 years ago
- 通用版面分析 | 中文文档解析 |Document Layout Analysis | layout paser☆46Updated 11 months ago
- HMM\CRF\BERT-CRF\BILSTM-CRF\BERTBILSTMCRF\XLNETBILSTMCRF☆33Updated 2 years ago
- NLP tools, word segmentation, sentence segmentation, New-Word-Discovery,新词发现☆25Updated last year
- 基于NER的文本纠错☆14Updated last year
- BLOOM 模型的指令微调☆24Updated last year
- 基于sentence-transformers实现文本转向量的机器人☆46Updated 2 years ago
- ☆86Updated 3 years ago
- 中文纠错☆92Updated 3 years ago
- intent detection and slot filling 意图识别与槽填充联合模型☆39Updated 2 years ago
- 中文文本纠错相关的论文、比赛和工具。☆59Updated last month
- 🌈 NERpy: Implementation of Named Entity Recognition using Python. 命名实体识别工具,支持BertSoftmax、BertSpan等模型,开箱即用。☆113Updated last year
- ☆127Updated 2 years ago
- 商品标题实体识别☆23Updated 3 years ago
- multi-label,classifier,text classification,多标签文本分类,文本分类,BERT,ALBERT,multi-label-classification☆27Updated 3 years ago
- This is the official code for paper titled "Exploration and Exploitation: Two Ways to Improve Chinese Spelling Correction Models".☆68Updated 4 years ago
- using lear to do ner extraction☆29Updated 3 years ago