自动作文评分工具,支持中文、英文作文智能评分,支持评分模型自训练,支持WEKA处理模型数据,支持自定义评分算法。java开发。
-
Updated
Jul 7, 2017 - Roff
自动作文评分工具,支持中文、英文作文智能评分,支持评分模型自训练,支持WEKA处理模型数据,支持自定义评分算法。java开发。
Created a web app that can automatically score essays. The grading model was trained using HP Essays Dataset from Kaggle. Used Long Short Term Memory (LSTM) network and machine learning algorithms to train model. WebApp was created using Flask framework.
This repository is the implementation of the ProTACT architecture, introduced in the paper "Prompt- and Trait Relation-aware Cross-prompt Essay Trait Scoring" (ACL Findings 2023).
AES system for ESL essays in Python
NLP Automated Essay Scoring with BERT
Automatic Evaluation of Textual Answers on the famous Kaggle Automated Essay Scoring (AES) dataset.
Sistem Evaluasi Pembelajaran Otomatis Menggunakan Natural Language Processing (NLP)
The goal is to create a model predicting the grade of an essay
Automatic Essay Scoring implements the Rabin-Karp Algorithm and Synonym Recognition
Web application that analyzes prose writing and provides data to support substantive, goal setting, progress tracking
Project based on Machine Learning to extract features from essays and train using suitable ML algorithms to predict essay scores.
IELTS Essay Evaluator is an Android app where IELTS aspirants can post their essays/letters/reports and get them evaluated and corrected for a fee. They also get suggestions, tips to improve their band score. Developed by Barath Sekar and powered by Acquire Job Skills.
Essay topic adherence repository
Automatic Essay Score for ENEM - Final Project in IA024 (UNICAMP - FEEC)
This chatbot will evaluate IELTS writing task 2 essays
An API that provides automated essay grading capabilities into educational applications, leveraging state-of-the-art NLP models such as BERT for accurate and efficient evaluation of student essays.
Add a description, image, and links to the essayscoring topic page so that developers can more easily learn about it.
To associate your repository with the essayscoring topic, visit your repo's landing page and select "manage topics."