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KBQA-for-Diagnosis

Knowledge Graph,Question Answering System,基于知识图谱和向量检索的医疗诊断问答系统

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bert-text

bert文本多分类(情感分析)、bert-bilstm-crf序列标注任务(快递地址的序列标注任务)

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sequence_label

序列标注工具,可对文本进行多类别选中标注

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bert_slot_tagging

用预训练BERT实现序列标注模型。

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nlp_tutorial

NLP超强入门指南,包括各任务sota模型汇总(文本分类、文本匹配、序列标注、文本生成、语言模型),以及代码、技巧

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BIO-sequence-label

基于BIO模式的序列标注工具-可用于命名实体识别、事件触发词识别等任务的数据标注

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nlp_research

NLP research:基于tensorflow的nlp深度学习项目,支持文本分类/句子匹配/序列标注/文本生成 四大任务

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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)。

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Bert-BiLSTM-CRF-pytorch

bert-bilstm-crf implemented in pytorch for named entity recognition.

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bilstm-crf

双向lstm+crf 序列标注

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targer

BiLSTM-CNN-CRF tagger

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emnlp2017-bilstm-cnn-crf

BiLSTM-CNN-CRF architecture for sequence tagging

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sequence-labeling-BiLSTM-CRF

The BiLSTM-CRF model implementation in Tensorflow, for sequence labeling tasks.

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Bert-BiLSTM-CRF-pytorch

使用谷歌预训练bert做字嵌入的BiLSTM-CRF序列标注模型

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phantomjs

Scriptable Headless Browser

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tour

Code for WWW'21 paper "TOUR: Dynamic Topic and Sentiment Analysis of User Reviews for Assisting App Release"

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MERIT

MERIT is a framework for emerging app issue detection

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DL_4_NER

Using Bi-LSTM model for NER in English.

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Position-Aware-Tagging-for-ASTE

Code and models for the paper " Position-Aware Tagging for Aspect Sentiment Triplet Extraction", EMNLP 2020.

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USC-DS-RelationExtraction

Distantly Supervised Relation Extraction

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ACOS

The datasets and code of ACL 2021 paper "Aspect-Category-Opinion-Sentiment Quadruple Extraction with Implicit Aspects and Opinions".

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NER

基于tensorflow深度学习的中文的命名实体识别

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IDEA

Release code and data for the ICSE'18 paper: Online App Review Analysis for Identifying Emerging Issues. IDEA (IDentifying Emerging issues from App reviews) is a framework for detecting emerging issues from time-sensitive data.

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Senti4SD

An emotion-polarity classifier specifically trained on developers' communication channels

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CLUENER2020

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

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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

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sohu2021-baseline

2021搜狐校园文本匹配算法大赛baseline

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