QA for Turkish Contributions to Scientific Work.
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
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.
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
https://github.com/parkr/near-dup-detection
GNU General Public License v3.0
See LICENSE to read full text.