Zhiling Zhang's Projects
2-player AR Hockey game, bring gameroom home!
博客 https://blog.csdn.net/blmoistawinde/article/details/81780401 的实现
一个基于预训练的句向量生成工具
BERT distillation(基于BERT的蒸馏实验 )
A neural network model for Chinese named entity recognition
中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard
simple reproduction of the paper 'Lighter' Can Still Be Dark: Modeling Comparative Color Descriptions by Winn et al.
Utility Code and Sample data for WSM Project Option B.
Code and Data for EMNLP 2023 paper "Semantic Space Grounded Weighted Decoding for Multi-Attribute Controllable Dialogue Generation"
the code and data for the CIKM 2021 paper "Enriching Ontology with Temporal Commonsense for Low-Resource Audio Tagging"
Code for EMNLP22 paper "Symptom Identification for Interpretable Detection of Multiple Mental Disorders"
An unofficial implementation in python3.6 for the paper: Facetnet: a framework for analyzing communities and their evolutions in dynamic networks
Fluency ENhanced Sentence-bert Evaluation (FENSE), metric for audio caption evaluation. And Benchmark dataset AudioCaps-Eval, Clotho-Eval.
GSDMM: Short text clustering
This code implements a basic, Twitter-aware tokenizer.
文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等),无监督或弱监督方法
博客文章开源代码分享区
Code for the WWW 2021 paper: Diverse and Specific Clarification Question Generation with Keywords
Classical ML equations in Latex, helps paper and blog writing
A trial reimplementation of the paper "MT-GCN FOR MULTI-LABEL AUDIO TAGGING WITH NOISY LABELS" for DCASE2019 Task2.
一键中文数据增强包 ; NLP数据增强、bert数据增强、EDA:pip install nlpcda
Core Data of HowNet and OpenHowNet Python API
An Open-Source Framework for Prompt-Learning.
An example project using OpenPrompt under pytorch-lightning for prompt-based SST2 sentiment analysis model
The source code for CVPR 2020 accepted paper "Recurrent Feature Reasoning for Image Inpainting"
codes for the IJCAI 2022 paper "Psychiatric Scale Guided Risky Post Screening for Early Detection of Depression"