Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
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Jun 1, 2020 - Python
Entity and Relation Extraction Based on TensorFlow and BERT. 基于TensorFlow和BERT的管道式实体及关系抽取,2019语言与智能技术竞赛信息抽取任务解决方案。Schema based Knowledge Extraction, SKE 2019
AI圈Noah plan-AI数据竞赛Top可复现解决方案(Awesome Top Solution List of Excellent AI Competitions)
Kesci underwater object detection algorithm contest
Code for http://lic2019.ccf.org.cn/kg 信息抽取。使用基于 BERT 的实体抽取和关系抽取的端到端的联合模型。
基于MindSpore AI框架实现零售商品识别 top1方案
Our winning algorithm for the 2020 Terminal Live competition at Harvard-MIT. We won every round in the finals!
Our Code for Hash Code 2022 Qualification Round "Mentorship and Teamwork" Participating for the First Time
Team sist's winning solutions to Jayways Knattra code competition
This is my solution to the CCF training competition. Using cascade rcnn, the config file is in modified_configs.
AI4Media EaaS platform based on codalab (https://codalab.org/).
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