mcavdar / aicomp

AI Competition
GNU General Public License v3.0
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artificial-intelligence natural-language-understanding question-answering reading-comprehension

AI Competition

QA for Turkish Contributions to Scientific Work.

Humayun

Dataset

SQuAD
Wikipedia

Papers

Question Analysis for a Closed Domain Question Answering System
Question Answering-Speech and Language Processing. Daniel Jurafsky & James H. Martin
Nerdle: Topic-Specific Question Answering Using Wikia Seeds
Special Section on Restricted-Domain Question Answering
A Tri-Role Topic Model for Domain-Specific Question Answering
Biomedical question answering: A survey
DeepQA

Other Links

Competition
Competition Rule

Credits

This application uses Open Source components. You can find the source code of their open source projects. We acknowledge and are grateful to these developers for their contributions to open source.

Djangology

Special thanks to Emilia Apostolova, Sean Neilan, Gary An, Noriko Tomuro and Steven Lytinen (authors of Djangology paper) for providing us their source code.

Djangology: A Light-weight Web-based Tool for Distributed Collaborative Text Annotation
Djangology Web Annotator

Near-Duplicate Detection in Python

https://github.com/parkr/near-dup-detection

License

GNU General Public License v3.0

See LICENSE to read full text.