Paper: Philosophers are Mortal: Inferring the Truth of Unseen Facts

ACL ID W13-3515
Title Philosophers are Mortal: Inferring the Truth of Unseen Facts
Venue International Conference on Computational Natural Language Learning
Session Main Conference
Year 2013
Authors

Large databases of facts are prevalent in many applications. Such databases are accurate, but as they broaden their scope they become increasingly incomplete. In contrast to extending such a database, we present a system to query whether it con- tains an arbitrary fact. This work can be thought of as re-casting open domain in- formation extraction: rather than growing a database of known facts, we smooth this data into a database in which any possi- ble fact has membership with some confi- dence. We evaluate our system predicting held out facts, achieving 74.2% accuracy and outperforming multiple baselines. We also evaluate the system as a common- sense filter for the ReVerb Open IE sys- tem, and as a method for answer validation in a Question Answering task.