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Zhang Bowen's Projects

absa-pytorch icon absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析,使用PyTorch实现。

affective-attention icon affective-attention

Source code for the ACL 2019 paper "Attention-based Conditioning Methods for External Knowledge Integration"

agpc icon agpc

( ACL 2019 ) “Automatic Generation of Personalized Comment Based on User Profile“

asgcn icon asgcn

Code and preprocessed dataset for EMNLP 2019 paper titled "Aspect-based Sentiment Classification with Aspect-specific Graph Convolutional Networks"

awesome-llm icon awesome-llm

Awesome-LLM: a curated list of Large Language Model

capsgnn icon capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

chatgpt-universe icon chatgpt-universe

ChatGPT Universe is fleeting notes on ChatGPT, GPT, and large language models (LLMs)

constructingneeg_ijcai_2018 icon constructingneeg_ijcai_2018

The data and code for our IJCAI-ECAI 2018 paper: Constructing Narrative Event Evolutionary Graph for Script Event Prediction

conversational_ai_bot icon conversational_ai_bot

ICWS2020_User Intention Recognition and Requirement Elicitation Method for Conversational AI Service_Project

customer_satisfaction_analysis icon customer_satisfaction_analysis

基于在线民宿UGC数据的意见挖掘项目,包含数据挖掘和NLP相关的处理,负责数据采集、主题抽取、情感分析等任务。开发的目的是克服用户打分和评论不一致,实时对重庆地区在线民宿的满意度进行评测,使用Python实现了在线评论采集和情感可视化分析。搭建了百度地图POI查询入口,可以进行自动化的批量查询POI信息的功能;构建了基于在线民宿语料的Word2vec主题聚类模型,利用主题中心词能找出对应的主题属性字典;以用户打分作为标注,然后通过实验贝叶斯、SVM、决策树等多种分类模型,最后选用贝叶斯模型进行情感分析,将情感分类概率分布作为情感趋势,最后通过POI热力图的方式对不同地域的民宿满意度进行展示。软件版本请见链接。

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.

deepst icon deepst

Deep Learning for Spatio-Temporal Data

dykgchat icon dykgchat

Dynamic Knowledge-Grounded Dialogue Generation

gcn-sea icon gcn-sea

Repository for the TACL 2019 paper: "Graph Convolutional Network with Sequential Attention For Goal-Oriented Dialogue Systems"

glmp icon glmp

PyTorch code for ICLR 2019 paper: Global-to-local Memory Pointer Networks for Task-Oriented Dialogue https://arxiv.org/pdf/1901.04713

graphvis icon graphvis

可以应用于知识图谱可视化,复杂网络可视化分析,关系图可视化,网络拓扑图,布局算法,社区发现算法等应用场景。也可以作为 network,graph,knowlegegraph,neo4j,gephi相关应用工具的核心算法层。

healthinf2020 icon healthinf2020

Code and supplementary material for the HealthINF conference paper

hgcn icon hgcn

Hyperbolic Graph Convolutional Networks in PyTorch.

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