Hunter-P / 2020-KDD-Cup-Multimodalities-Recall
人人都能看懂的轻量级解决方案
☆15Updated 4 years ago
Alternatives and similar repositories for 2020-KDD-Cup-Multimodalities-Recall:
Users that are interested in 2020-KDD-Cup-Multimodalities-Recall are comparing it to the libraries listed below
- 2019中国高校计算机大赛——大数据挑战赛 第一名解决方案☆41Updated 4 years ago
- ☆15Updated 6 years ago
- ☆22Updated 6 years ago
- top8 KDD Cup 2020 Challenges for Modern E-Commerce Platform: Multimodalities Recall☆37Updated 2 years ago
- 2019年知乎看山杯第四名☆35Updated 5 years ago
- DataFountain第五届达观杯第4名方案☆12Updated 3 years ago
- This is our solution for KDD Cup 2020. We implemented a very neat and simple neural ranking model based on siamese BERT which ranked firs…☆70Updated 4 years ago
- TIANCHI天池-OGeek算法挑战赛(亚军)☆27Updated 5 years ago
- 2019年知乎看山杯专家发现算法大赛第六名完整解决方案☆39Updated 5 years ago
- ☆14Updated 8 years ago
- 2019语言与智能技术竞赛第5名方案☆14Updated 5 years ago
- ESIM model with lanuage model☆26Updated 6 years ago
- a beautiful method for cluster or community detection☆50Updated 5 years ago
- 2018 高校算法大赛神策杯第五名解决方案☆17Updated 6 years ago
- 2019达观杯实体识别☆19Updated 5 years ago
- 2018云移杯景区口碑评价分值预测 7/1186☆11Updated 6 years ago
- Explicit high order interaction models implemented in Keras, including: DCN, xDeepFM, AutoInt etc.☆11Updated 2 years ago
- 2018开放学术数据挖掘大赛 第四名解题方案 No.4 solution of Open Academic Data Challenge 2018☆9Updated 5 years ago
- ☆18Updated 3 years ago
- 基于BERT的预训练语言模型实现,分为两步:预训练和微调。目前已包括BERT、Roberta、ALbert三个模型,且皆可支持Whole Word Mask模式。☆16Updated 5 years ago
- 之江杯-电商评论观点挖掘 rank30☆14Updated 5 years ago
- Baselines for CCKS 2022 Task "Product Knowledge Graph Alignment"☆29Updated 2 years ago
- implementation for comparison of supervised Learning to Match methods for product search☆37Updated 4 years ago
- Top3 Solution for 2019 BAAI-Zhihu-Cup 知乎看山杯☆34Updated 5 years ago
- 看山杯 专家发现算法大赛 baseline 0.701741036192302(没有五折验证)☆37Updated 5 years ago
- 第三届魔镜杯大赛 相似问匹配☆8Updated 6 years ago
- ☆27Updated 6 years ago
- “神策杯”关键词提取☆7Updated 6 years ago
- 2019达观杯信息提取第5名代码☆20Updated 5 years ago
- 之江-电商评论观点挖掘的比赛,基于pytorch-transformers版本,暂时只实现了BERT做aspect+opinion+属性分类+情感极性的联合标注,还未加上CRF。☆32Updated 5 years ago