DEANNA - DEep Answers for maNy Naturally Asked questions
DEANNA (DEep Answers for maNy Naturally Asked questions) is a framework for natural language question answering over structured knowledge bases. Given a natural language question, DEANNA translates questions into a SPARQL-like structured query language that can be evaluated over the Yago knowledge base.
The official page for DEANNA is located at http://www.mpi-inf.mpg.de/yago-naga/deanna/.
Screencast
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Publications
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To Appear:
Natural Language Questions for the Web of Data
Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp and Gerhard Weikum
2012 Conference on Empirical Methods in Natural Language Processing and Natural Language Learning (EMNLP-CoNLL'12) - oral presentation. -
Deep Answers for Naturally Asked Questions on the Web of Data
Mohamed Yahya, Klaus Berberich, Shady Elbassuoni, Maya Ramanath, Volker Tresp and Gerhard Weikum
21st International World Wide Web Conference (WWW'12) - demo paper.
People