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Name: Nora Tang
Type: User
Company: Dalian University of Technology
Bio: Student of Dalian University of Technology
Name: Nora Tang
Type: User
Company: Dalian University of Technology
Bio: Student of Dalian University of Technology
This project includes the code implemented with PyTorch and the paper 'Prototype-based Prompt-Instance Interaction with Causal Intervention for Few-shot Event Detection' published at LREC-COLING 2024.
This project includes the code implemented with PyTorch and the paper 'Improving Long-tail Relation Extraction via Adaptive Adjustment and Causal Inference' published in the Neurocomputing 2023 journal.
An implementation of the algorithm described in Barkan's 2016 paper "Bayesian Neural Word Embedding"
该项目爬取一段时间央视新闻的微博语料,并利用支持向量机进行情感分析,全部实验均使用python完成。
NLP 相关的一些文档、论文及代码, 包括主题模型(Topic Model)、词向量(Word Embedding)、命名实体识别(Named Entity Recognition)、文本分类(Text Classificatin)、文本生成(Text Generation)、文本相似性(Text Similarity)计算、机器翻译(Machine Translation)等,涉及到各种与nlp相关的算法,基于keras和tensorflow。
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
这个工程主要实现自然语言处理的多个基本任务,不通过掉包的方式。(包括分词、词性标注、停用词过滤、命名实体识别、句法分析、情感分析等)
Machine learning, in numpy
PRML algorithms implemented in Python
README文件语法解读,即Github Flavored Markdown语法介绍
这里是利用python3.6搭建tensorflow1.8框架编程实现的一层、两层以及双向LSTM模型,且对部分超参数进行灵敏度分析,最终可在tensorbosrd上查看实验结果的工程。
PyTorch Implementation of "Unsupervised Learning of Syntactic Structure with Invertible Neural Projections" (EMNLP 2018)
该工程是利用python3.6进行“特征提取+分类器”来实现美团评论的文本二分类问题。在特征提取部分提取了6种特征,分类器选择了python里面的包xgboost和lightGBM分别实现提升树和GBDT(梯度提升决策树)。
Unsupervised Learning of Video Representations using LSTMs
:zap: A distributed crawler for weibo, building with celery and requests.
新浪微博爬虫,用python爬取新浪微博数据
Automatically exported from code.google.com/p/word2vec
该工程是利用python3.6搭建tensorflow1.8框架编程实现词向量的各种评估实验。包括衡量词向量的“语义质量”的实验(词类比实验、词相似度实验、命名实体识别),衡量词向量的“结合情感信息质量”的实验(词语级情感分析、句子级情感分析)
事件小分队论文笔记
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