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Sun Yi's Projects

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记

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

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

bert-for-rrc-absa icon bert-for-rrc-absa

code for our NAACL 2019 paper: "BERT Post-Training for Review Reading Comprehension and Aspect-based Sentiment Analysis"

bertviz icon bertviz

Tool for visualizing attention in the Transformer model (BERT, GPT-2, Albert, XLNet, RoBERTa, CTRL, etc.)

cblue icon cblue

中文医疗信息处理基准CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark

ccks2019_el icon ccks2019_el

CCKS 2019 中文短文本实体链指比赛技术创新奖解决方案

ccks2020-task8 icon ccks2020-task8

军事装备试验鉴定是指通过规范化的组织形式和试验活动,对被试对象进行全面考核并作出评价结论的国家最高检验行为,涵盖方法、技术、器件、武器系统、平台系统、体系、训练演习等领域,涉及面广、专业性强。 近年来,自然语言理解和人工智能技术飞速发展,日趋成为推动大数据建设的重要力量。试验鉴定由于试验目的的不同、被试对象的特点、武器系统的特性,有着自身较为特殊的语言形式,自然语言处理技术服务于该领域大数据建设的效果如何、基线在哪里,是总体单位非常关注的问题。 为此,我们以命名实体识别任务为切入点,逐步开展这方面的工作,以期通过评测的形式,促进交流、掌握基线、提升技术水平,遴选优秀技术为相关项目建设提供参考,共同推动试验鉴定领域大数据建设。

chinese-bert-wwm icon chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT(中文BERT-wwm系列模型)

chinese_corpus icon chinese_corpus

中文语料库:包括情感词典 情感分析 文本分类 单轮对话 中文词典 知乎

chineseblue icon chineseblue

Chinese Biomedical Language Understanding Evaluation benchmark (ChineseBLUE)

chinesenlpcorpus icon chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集,与 有志之士 共同 促进 中文 自然语言处理 的 发展。

cwvw-sif icon cwvw-sif

基于方差权重因子选词的SIF句向量模型-实验源码

ernie icon ernie

Source code and dataset for ACL 2019 paper "ERNIE: Enhanced Language Representation with Informative Entities"

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