Bert Ner PytorchChinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
Stars: ✭ 654 (+2872.73%)
Bert Bilstm Crf NerTensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private Server services
Stars: ✭ 3,838 (+17345.45%)
Sltk序列化标注工具,基于PyTorch实现BLSTM-CNN-CRF模型,CoNLL 2003 English NER测试集F1值为91.10%(word and char feature)。
Stars: ✭ 338 (+1436.36%)
Ner Lstm CrfAn easy-to-use named entity recognition (NER) toolkit, implemented the Bi-LSTM+CRF model in tensorflow.
Stars: ✭ 337 (+1431.82%)
Macropodus自然语言处理工具Macropodus,基于Albert+BiLSTM+CRF深度学习网络架构,中文分词,词性标注,命名实体识别,新词发现,关键词,文本摘要,文本相似度,科学计算器,中文数字阿拉伯数字(罗马数字)转换,中文繁简转换,拼音转换。tookit(tool) of NLP,CWS(chinese word segnment),POS(Part-Of-Speech Tagging),NER(name entity recognition),Find(new words discovery),Keyword(keyword extraction),Summarize(text summarization),Sim(text similarity),Calculate(scientific calculator),Chi2num(chinese number to arabic number)
Stars: ✭ 309 (+1304.55%)
Bert seq2seqpytorch实现bert做seq2seq任务,使用unilm方案,现在也可以做自动摘要,文本分类,情感分析,NER,词性标注等任务,支持GPT2进行文章续写。
Stars: ✭ 298 (+1254.55%)
Slot filling and intent detection of sluslot filling, intent detection, joint training, ATIS & SNIPS datasets, the Facebook’s multilingual dataset, MIT corpus, E-commerce Shopping Assistant (ECSA) dataset, CoNLL2003 NER, ELMo, BERT, XLNet
Stars: ✭ 298 (+1254.55%)
Hscrf PytorchACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
Stars: ✭ 284 (+1190.91%)
RnnsharpRNNSharp is a toolkit of deep recurrent neural network which is widely used for many different kinds of tasks, such as sequence labeling, sequence-to-sequence and so on. It's written by C# language and based on .NET framework 4.6 or above versions. RNNSharp supports many different types of networks, such as forward and bi-directional network, sequence-to-sequence network, and different types of layers, such as LSTM, Softmax, sampled Softmax and others.
Stars: ✭ 277 (+1159.09%)
keras-bert-nerKeras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
Stars: ✭ 7 (-68.18%)
knowledge-graph-nlp-in-action从模型训练到部署,实战知识图谱(Knowledge Graph)&自然语言处理(NLP)。涉及 Tensorflow, Bert+Bi-LSTM+CRF,Neo4j等 涵盖 Named Entity Recognition,Text Classify,Information Extraction,Relation Extraction 等任务。
Stars: ✭ 58 (+163.64%)
entity recognitionEntity recognition codes for "2019 Datagrand Cup: Text Information Extraction Challenge"
Stars: ✭ 26 (+18.18%)
grobid-nerA Named-Entity Recogniser based on Grobid.
Stars: ✭ 38 (+72.73%)
grobid-quantitiesGROBID extension for identifying and normalizing physical quantities.
Stars: ✭ 53 (+140.91%)
Computer-Visionimplemented some computer vision problems
Stars: ✭ 25 (+13.64%)
Eli5A library for debugging/inspecting machine learning classifiers and explaining their predictions
Stars: ✭ 2,477 (+11159.09%)