daiyulejia's repositories
amazon-weak-ner-needle
Named Entity Recognition with Small Strongly Labeled and Large Weakly Labeled Data
awesome-chinese-ner
中文命名实体识别。包含目前最新的中文命名实体识别论文、中文实体识别相关工具、数据集，以及中文预训练模型、词向量、实体识别综述等。
bootstrapNER
This project aims at bootstrapping NER for novel entities using distant supervision. NER architecture is based on the work by Ma and Hovy "End-to-end Sequence Labeling via Bi-directional LSTM-CNNs-CRF" as well as Lample et al. "Neural Architectures for Named Entity Recognition".
Chinese_biomed_patents_NER
This repository includes the built datasets, source codes, and trained models of our study Named Entity Recognition for Chinese biomedical patents.
CLUENER2020
CLUENER2020 中文细粒度命名实体识别 Fine Grained Named Entity Recognition
Cross-Domain_NER
Cross-domain NER using cross-domain language modeling, code for ACL 2019 paper
entity-recognition-datasets
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
NER-BERT-BiLSTM-CRF-
基于BERT+BiLSTM+CRF实现中文命名实体识别
NLP-progress
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
nlp_xiaojiang
自然语言处理（nlp），小姜机器人（闲聊检索式chatbot），BERT句向量-相似度（Sentence Similarity），XLNET句向量-相似度（text xlnet embedding），文本分类（Text classification）， 实体提取（ner，bert+bilstm+crf），数据增强（text augment, data enhance），同义句同义词生成，句子主干提取（mainpart），中文汉语短文本相似度，文本特征工程，keras-http-service调用
novel
novel 是一套基于时下最新 Java 技术栈 Spring Boot 3 + Vue 3 开发的前后端分离学习型小说项目，配备详细项目开发文档，由小说门户系统、作家后台管理系统、平台后台管理系统等多个子系统构成。包括小说推荐、作品检索、小说排行榜、小说阅读、小说评论、会员中心、作家专区、充值订阅、新闻发布等功能。
PLMpapers
Must-read Papers on pre-trained language models.
PyTorch_BERT_Biaffine_NER
论文复现《Named Entity Recognition as Dependency Parsing》
RDANER
Code of ICKG2020 best student paper: A Robust and Domain-Adaptive Approach for Low-Resource Named Entity Recognition
style_NER
“Data Augmentation for Cross-Domain Named Entity Recognition” (EMNLP 2021)
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.
weak-supervision-for-NER
Framework to learn Named Entity Recognition models without labelled data using weak supervision.
zh-NER-TF
A very simple BiLSTM-CRF model for Chinese Named Entity Recognition 中文命名实体识别 (TensorFlow)