Markov Logic Networks for Natural Language Question Answering

Understand

Our goal is to answer elementary-level science questions using knowledge extracted automatically from science textbooks, expressed in a subset of first-order logic.

• Given the incomplete and noisy nature of these automatically extracted rules, Markov Logic Networks (MLNs) seem a natural model to use, but the exact way of leveraging MLNs is by no means obvious.
• We investigate three ways of applying MLNs to our task.
• In the first, we simply use the extracted science rules directly as MLN clauses.