Transformation of WordNet Glosses into Logi Forms

Transformation of WordNet Glosses into Logic Forms

This paper presents a method and implementation resuits for the transformation of WordNet glosses into logic forms. The glosses, currently expressed in English are a rich source of world knowledge. Logic forms are useful for logic proofs, inference, and many other AI applications. We demonstrate their applicability to a Question Answering system.

High Precision Logic Form Transformation

This paper presents few extensions to the logic form representation and a method for transforming WordNet glosses into logic forms using a set of high-precision rules combined with a set of high recall heuristics. An almost 3% increase in POS tagging accuracy is achieved over state-of-the art results at the expense of user intervention on only 7.52% of words. We apply a nearest neighbor solutio...

Logi Form Transformation of WordNet and its Appli abilityto Question

On the Automatic Generation of Intermediate Logic Forms for WordNet Glosses

This paper presents an automatically generated Intermediate Logic Form of WordNet’s glosses. Our proposed logic form includes neo-Davidsonian reification in a simple and flat syntax close to natural language. We offer a comparison with other semantic representations such as those provided by Hobbs and Extended WordNet. Our Intermediate Logic Forms provide a representation suitable to perform se...

Multilingual eXtended WordNet Knowledge Base: Semantic Parsing and Translation of Glosses

This paper presents a method to create WordNet-like lexical resources for different languages. Instead of directly translating glosses from one language to another, we perform first semantic parsing of WordNet glosses and then translate the resulting semantic representation. The proposed approach simplifies the machine translation of the glosses. The approach provides ready to use semantic repr...