We think that there is a largely untapped source of general knowledge in texts, lying at a level beneath the explicit assertional content. This knowledge consists of relationships implied to be possible in the world, or, under certain conditions, implied to be normal or commonplace in the world. For instance, the sentence ‘He entered the house through its open door’ suggests that it is possible for a person (or at least a male) to enter a house, that houses have doors, that doors can be open, etc. The goal of the present work is to derive such general world knowledge… Read more.
Lore is a continuation of the knowledge-extraction work that created Knext.
The original paper describing Knext is:
Some of the publications on Knext and related knowledge-extraction work at Rochester are:
For more, see the list of publications on Epilog, the Episodic Logic reasoning engine, and those on Lenhart Schubert’s website.
Lenhart Schubert and Jonathan Gordon
Benjamin Van Durme, Karl Stratos, Adina Rubinoff, Greg Carlson, Henry Kyburg, Alok Kothari, Jivko Sinapov, Saurabh Deshpande, Phil Michalak, Matthew Tong, David Ahn, and Aaron Kaplan.
This work is currently supported by
It has previously been supported under grants