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AIC Seminar Series

Deep Semantics and Ontology for NLP

Adam PeaseFounder, Articulate Software[Home Page]

Notice:  Hosted by Richard Waldinger

Date:  Tuesday, August 29th 2017 at 4:00pm

Location:  EK255 (SRI E building)  (Directions)

Webex: 

Talk available on VTC.
   Abstract

People use knowledge about the world to understand language. The success of statistical methods for matching and retrieval have not eliminated the need for techniques to understand the meaning and implications of natural language utterances. Many prior attempts at deep semantics have been limited by the lack of comprehensive world knowledge and limited logical representation languages. In this present work, we describe methods and resources to translate language into an expressive logical representation, using reference to a large logical "dictionary" of concepts - the Suggested Upper Merged Ontology (SUMO). We describe how to make use of theories in linguistic philosophy to inform interpretations, and how to combine symbolic AI methods with the best components from machine learning (using Stanford's CoreNLP) for dependency parsing.

Adam Pease is the founder of Articulate Software, which builds and advises on applications using ontology and natural-language processing. He has led research in ontology, linguistics, and formal inference, including development of the Suggested Upper Merged Ontology (SUMO) and the Sigma knowledge engineering environment. He was previously the Cognitive R&D Manager at IPsoft where he led development of the Amelia conversational agent, and a Program Manager at Teknowledge, where he led R&D contracts funded by DARPA and military agencies. Sharing research under open licenses, in order to achieve the widest possible dissemination and technology transfer, has been a core element of his research program. He is the author of the book "Ontology: A Practical Guide" and over 50 peer reviewed academic papers.

   Bio for Adam Pease

I’m a computer scientist working on ontology and computational linguistics. My work is centered around the Suggested Upper Merged Ontology (SUMO) and Sigma Knowledge Engineering Environment. I’ve recently written a book about this technology.

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