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🌚 🌍 🌝 GeoIP 增强版,支持自由定制 V2Ray dat 格式文件 geoip.dat、MaxMind mmdb 格式文件、sing-box SRS 格式文件、mihomo MRS 格式文件、Clash ruleset、Surge ruleset 等。Enhanced edition of GeoIP for V2Ray, Xray-core, sing-box, Clash, mi…
该仓库主要记录 NLP 算法工程师相关的顶会论文研读笔记【信息抽取篇】
Pytorch implementation of Analyzing Vietnamese Legal Question using Deep Neural Network with Biaffine classifiers
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
An Open-Source Package for Knowledge Embedding (KE)
Representation-Learning-on-Heterogeneous-Graph
Code for "Heterogeneous Graph Transformer" (WWW'20), which is based on pytorch_geometric
Code for "Locate and Label: A Two-stage Identifier for Nested Named Entity Recognition", accepted at ACL 2021.
Strategies for Pre-training Graph Neural Networks
Chinese Word2vec Medicine,中文医学词向量
Code and data of ACL 2021 paper "Few-NERD: A Few-shot Named Entity Recognition Dataset"
Using BERT+Bi-LSTM+CRF
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
Source code for EMNLP 2020 paper: Double Graph Based Reasoning for Document-level Relation Extraction
Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)
CCKS2019中文命名实体识别任务。从医疗文本中识别疾病和诊断、解剖部位、影像检查、实验室检验、手术和药物6种命名实体。现已实现基于jieba和AC自动机的baseline构建、基于BiLSTM和CRF的序列标住模型构建。bert的部分代码主要源于https://github.com/charles9n/bert-sklearn.git 感谢作者。 模型最终测试集得分0.81,还有较大改进…
中文医学NLP公开资源整理:术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc