BioNLP and Knowledge Discovery, 2022 Spring

— A Course for Graduates and Junior/Senior Undergraduates (本硕贯通课程-次年。)

(从2021年起,面向生物信息本科专业的《自然语言处理与知识发现》与面向全校研究生共选的《生物文本挖掘和知识发现概论》连通为本硕贯通课程。)


Apply the NLP ideas in Biomedicine Texts


Welcome to the course: “BioNLP and Knowledge Discovery”

这门课程源于2016年起开设的研究生《生物文本挖掘与知识发现概论》,每年春季授课。2020年对生物信息专业本科生增开。2021年起,作为本硕贯通课程开设。课程大纲和课程相关资源请在本页获取。

我为什么要选(不要选)这门课程?

学生评语(2021年): “老师注重启发学生思考,从不同的角度引导学生,培养学生的科研思维。由于老师非常负责对学生要求很高,期望也很高,对学生较为严厉,缺少对学生的鼓励,学生课业压力较大。

学生评语(2021年):“老师讲的很好,让我了解到一些以前接触较少得东西,十分有用,但是对于我这样代码基础较弱的来说还是有一定的挑战性。


Discover The Syllabuse


Contents

1  Preface
2  Introduction of BioNLP and this Course
3  First Class of Linux and Lexical Analysis
4  R programming and Word Cloud
5  Gene Ontology (GO Enrichment and R Implementation)
6  Human Phenotype Ontology (Enrichment Theory and HPO Enrichment)
7  Semantic Annotation with Plant Trait Ontology
8  PubMed Terms NER and Shell Programming
9 Advanced NLP Topic in Dependency Tree and Shortest Dependency Path
10 Advanced NLP Topic in Latent Semantic Analysis, from SVD to LSA
11 A Customized Biomedical Corpus on Mutations, AGAC
12 Advanced NLP Topic in Sequence Labeling, from HMM to CRF
13 Advanced NLP Topic in Topic Modeling, from Variational Inference to Gibbs Sampling
14 Modern NLP Topic in Word Embedding, from Count-based to Prediction-based
15 Modern NLP Topic in Graph Embedding and Knowledge Graph, about Their Biomedical Application




课程网络视频资源

课程资源来自哔哩哔哩网站,版权归属原视频制作团队,仅供参考。


课后答疑

办公室: 逸夫楼C610

助教:欧阳思卓,彭钱钱


Course for BioNLP

学科交叉,融会贯通,学好BioNLP.

Course Hours

See jw.hzau.edu.cn

Office

C610, Yifu bldg

Contact me

xiajingbo.math@gmail.com


☁ BioNLP and KD, 2021 Spring. Link

☁ BioNLP and KD, 2020 Spring. Link

☁  NLP for Undergraduate Student (大数据本科NLP课程), 2020 Autumn. Link.

回到 我的本科生课程列表

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