luistp001 / lt-autograder Goto Github PK
View Code? Open in Web Editor NEWA system that automatically grades short answer essays.
License: Other
A system that automatically grades short answer essays.
License: Other
This program is the source code of my final submission for the Kaggle Competition "Automated Student Assessment Prize, Phase Two – Short Answer Scoring". Requirements: - python 2.7 or greater - package R with libraries Boruta, randomForest, nlme, and gbm (these can be installed from the CRAN) The program can be run on Windows or Linux, but Linux is recommended. The files 'Instructions_Linux.txt' and 'Intructions_Windows.txt' provide the instructions to train and test the system. The model may take days to be completely trained. However, some parameters can be modified to considerably reduce the training time. These changes may also reduce the performance of the model. I tried that the code has as few differences as possible compared to the code I sent as part of my final model submission. I mostly added comments and descriptions, but the code can be cleaned considerably. It has several lines that make calculations and produce files that were used in the development of the model but not in the final model. EXTERNAL DATA: The external data used are: - The file /pythonScripts/PorterStemmer.py is an implementation of the Porter Stemmer algorithm downloaded from http://tartarus.org/martin/PorterStemmer/python.txt - The file /pythonScripts/correct2.py use code downloaded from http://norvig.com/spell-correct.html - The file /pythonScripts/ae.txt was copied from /usr/share/dict/american-english.txt located in any linux debian distribution. - The file /pythonScripts/big.txt was downloaded from http://norvig.com/big.txt ADDITIONAL FILES: The script /AdditionalFiles/uniqueLexicon.py creates the lexicon for the spell corrector. feat.py and label.py located in pythonScripts are the scripts used for labeling the training data. '/TrainingCode/training/training_x_label.csv' are the files that contain the labels of the training data. For any questions, feel free to contact me at [email protected]
Hello
In the instruction for Linux you mentioned this file, but where can I find it?
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.