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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。
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xinlp把李航老师《统计学习方法》的后几章的算法都用java实现了一遍,实现盒子与球的EM算法,扩展到去GMM训练,后来实现了HMM分词(实现了HMM分词的参数训练)和CRF分词(借用CRF++训练的参数模型),最后利用tensorFlow把BiLSTM+CRF实现了,然后为lucene包装了一个XinAnalyzer
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Lm Lstm CrfEmpower Sequence Labeling with Task-Aware Language Model
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GrobidA machine learning software for extracting information from scholarly documents
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deepsegChinese word segmentation in tensorflow 2.x
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mahjong开源中文分词工具包,中文分词Web API,Lucene中文分词,中英文混合分词
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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.
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keras-bert-nerKeras solution of Chinese NER task using BiLSTM-CRF/BiGRU-CRF/IDCNN-CRF model with Pretrained Language Model: supporting BERT/RoBERTa/ALBERT
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Simple crfsimple Conditional Random Field implementation in Python
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grobid-nerA Named-Entity Recogniser based on Grobid.
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Parserator🔖 A toolkit for making domain-specific probabilistic parsers
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Bert Ner PytorchChinese NER(Named Entity Recognition) using BERT(Softmax, CRF, Span)
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Etaggerreference tensorflow code for named entity tagging
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Hscrf PytorchACL 2018: Hybrid semi-Markov CRF for Neural Sequence Labeling (http://aclweb.org/anthology/P18-2038)
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Ner blstm CrfLSTM-CRF for NER with ConLL-2002 dataset
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