rbiswasfc/kaggle-feedback-effectiveness-3rd-place-solution
3rd Place solution for Feedback Prize - Predicting Effective Arguments Kaggle competition
This project helps educators and evaluators automatically assess the effectiveness of arguments in student essays. You provide a written essay or argument, and it classifies different parts of the text to tell you which arguments are effective, adequate, or ineffective. This is designed for teachers, academic graders, or anyone who needs to quickly evaluate persuasive writing.
No commits in the last 6 months.
Use this if you need to objectively evaluate and categorize the quality of arguments in a large volume of written text, like student essays or policy briefs.
Not ideal if you need to grade essays based on grammar, style, or overall content beyond argument effectiveness.
Stars
16
Forks
4
Language
Python
License
—
Category
Last pushed
Sep 06, 2022
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/rbiswasfc/kaggle-feedback-effectiveness-3rd-place-solution"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ShawnyXiao/2017-CCF-BDCI-AIJudge
2017-CCF-BDCI-让AI当法官(初赛):7th/415 (Top 1.68%)
ShawnyXiao/2018-DC-DataGrand-TextIntelProcess
2018-DC-“达观杯”文本智能处理挑战赛:冠军 (1st/3131)
beader/tianchi_nl2sql
追一科技首届中文NL2SQL挑战赛决赛第3名方案+代码
rogeroyer/2019-CCF-BDCI-Finance-Information-Negative-Judgment
top1-solution
zhanzecheng/SOHU_competition
Sohu's 2018 content recognition competition 1st solution(搜狐内容识别大赛第一名解决方案)