Pinned Repositories
AiLearning
AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP
albert-chinese-ner
使用预训练语言模型ALBERT做中文NER
ALBERT_4_Time_Recognition
使用ALBERT预训练模型，用于识别文本中的时间，同时验证模型的预测耗时是否有显著提升。
albert_lstm_crf_ner
albert lstm crf实体识别，pytorch
albert_zh
A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型
awesome-bert
bert nlp papers, applications and github resources, including the newst xlnet ， BERT、XLNet 相关论文和 github 项目
bert-based-triplet
BERT-BiLSTM-CRF
BERT-BiLSTM-CRF的Keras版实现
BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
BERT-NER
Use Google's BERT for named entity recognition （CoNLL-2003 as the dataset）.
victortowne's Repositories
victortowne/albert_lstm_crf_ner
albert lstm crf实体识别，pytorch
victortowne/BERT-BiLSTM-CRF-NER
Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
victortowne/albert-chinese-ner
使用预训练语言模型ALBERT做中文NER
victortowne/ALBERT_4_Time_Recognition
使用ALBERT预训练模型，用于识别文本中的时间，同时验证模型的预测耗时是否有显著提升。
victortowne/bert-based-triplet
victortowne/BERT-NER-Pytorch
Chinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
victortowne/bert4keras
keras implement of transformers for humans
victortowne/CasRel
A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.
victortowne/ChineseNLPCorpus
中文自然语言处理数据集，平时做做实验的材料。欢迎补充提交合并。
victortowne/d2l-zh
《动手学深度学习》：面向中文读者、能运行、可讨论。英文版即伯克利“深度学习导论”教材。
victortowne/DeepMatch
A deep matching model library for recommendations & advertising. It's easy to train models and to export representation vectors which can be used for ANN search.
victortowne/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
victortowne/Entity-Relation-Extraction
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取，2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
victortowne/Event-Extraction
基于法律裁判文书的事件抽取及其应用，包括数据的分词、词性标注、命名实体识别、事件要素抽取和判决结果预测等内容
victortowne/fast_text_gcn
FastGCN for inductive text classification
victortowne/GAT
Graph Attention Networks (https://arxiv.org/abs/1710.10903)
victortowne/Giveme5W1H
Extraction of the journalistic five W and one H questions (5W1H) from news articles: who did what, when, where, why, and how?
victortowne/K-BERT
Source code of K-BERT
victortowne/keras-bert-ner
Keras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
victortowne/knowledge-distillation
PyTorch implementations of algorithms for knowledge distillation.
victortowne/knowledge_graph_attention_network
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
victortowne/mrc-for-flat-nested-ner
Code for ACL 2020 paper `A Unified MRC Framework for Named Entity Recognition`
victortowne/Name-Entity-Recognition
Lstm-crf,Lattice-CRF,bert-ner及近年ner相关论文follow
victortowne/NER-BERT-CRF
victortowne/NER_DEMO
中文命名实体识别NER。用keras实现BILSTM+CRF、IDCNN+CRF、BERT+BILSTM+CRF进行实体识别。结果当然是BERT+BILSTM+CRF最好啦。
victortowne/nested-ner-tacl2020-transformers
Implementation of Nested Named Entity Recognition using BERT
victortowne/NeuralNLP-NeuralClassifier
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
victortowne/SlotGated-SLU
Slot-Gated Modeling for Joint Slot Filling and Intent Prediction
victortowne/spert
PyTorch code for SpERT: Span-based Entity and Relation Transformer
victortowne/VGCN-BERT