AAAI Publications, Workshops at the Twenty-Eighth AAAI Conference on Artificial Intelligence

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Learning an Optimal Sequence of Questions for the Disambiguation of Queries over Structured Data
Achim Rettinger, Alexander Hagemann, Matthias Nickles

Last modified: 2014-06-18

Abstract


Intelligent systems interacting with users often need to relate ambiguous natural language phrases to formal entities which can be further processed. This work strives for learning an optimal sequence of disambiguation questions asked by an agent in order to achieve a perfect interactive disambiguation, setting itself off against previous work on interactive and adaptive dialogue systems for disambiguation in question answering. To this aim, we built a hybrid system that exhibits deductive and statistical inference capabilities by combining techniques from natural language processing, information retrieval, answer set programming and relational reinforcement learning.

Keywords


Linked Data;Question Answering;Relational Reinforcement Learning;Information Retrieval;Linked Data;Named-Entity Recognition;Disambiguation

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