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TJUNLP's Projects

adascaling icon adascaling

Adaptive Scaling for Sparse Detection in Information Extraction

algonotes icon algonotes

公众号【浅梦的学习笔记】文章汇总:包含 排序&CXR预估,召回匹配,用户画像&特征工程,推荐搜索综合 计算广告,大数据,图算法,NLP&CV,求职面试 等内容

ansj_seg icon ansj_seg

ansj分词.ict的真正java实现.分词效果速度都超过开源版的ict. 中文分词,人名识别,词性标注,用户自定义词典

at4chinesener icon at4chinesener

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

bert-bilstm-crf-ner icon bert-bilstm-crf-ner

Tensorflow solution of NER task Using BiLSTM-CRF model with Google BERT Fine-tuning And private server services

buildltmlforltp icon buildltmlforltp

针对LTP4J项目的本地代码封装,提供与在线版调用接口同样的功能,返回标准的LTML格式分析结果。

cckscner icon cckscner

CCKS2019 面向中文电子病历的命名实体识别

cec-corpus icon cec-corpus

:books:中文突发事件语料库(Chinese Emergency Corpus)-上海大学-语义智能实验室

coer icon coer

Chinese Open Entity-Relation Knowledge Base

conve icon conve

Convolutional 2D Knowledge Graph Embeddings resources

decanlp icon decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-survey-text-classification icon deep-survey-text-classification

The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.

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