TY - GEN
T1 - Syntax-semantic mapping for general intelligence: Language comprehension as hypergraph homomorphism, language generation as constraint satisfaction
AU - Lian, Ruiting
AU - Goertzel, Ben
AU - Ke, Shujing
AU - O'Neill, Jade
AU - Sadeghi, Keyvan
AU - Shiu, Chi Keung Simon
AU - Wang, Dingjie
AU - Watkins, Oliver
AU - Yu, Gino Tu
PY - 2012/12/26
Y1 - 2012/12/26
N2 - A new approach to translating between natural language expressions and hypergraph-based semantic knowledge representations is proposed. Language comprehension is formulated in terms of homomorphisms mapping syntactic parse trees into semantic hypergraphs, and language generation as constraint satisfaction based on constraints derived via applying the inverse relations of these homomorphisms. This provides an elegant approach to implementing semantically savvy NLP systems, and also to thinking about the feedbacks between syntactic and semantic processing that are the crux of generally intelligent NLP. A prototype of the approach created using the link parser and the OpenCog Atom semantic representation is described, and initial results presented. Routes to extending this prototype into something useful for aiding generally intelligent dialogue systems are discussed.
AB - A new approach to translating between natural language expressions and hypergraph-based semantic knowledge representations is proposed. Language comprehension is formulated in terms of homomorphisms mapping syntactic parse trees into semantic hypergraphs, and language generation as constraint satisfaction based on constraints derived via applying the inverse relations of these homomorphisms. This provides an elegant approach to implementing semantically savvy NLP systems, and also to thinking about the feedbacks between syntactic and semantic processing that are the crux of generally intelligent NLP. A prototype of the approach created using the link parser and the OpenCog Atom semantic representation is described, and initial results presented. Routes to extending this prototype into something useful for aiding generally intelligent dialogue systems are discussed.
UR - http://www.scopus.com/inward/record.url?scp=84871371296&partnerID=8YFLogxK
U2 - 10.1007/978-3-642-35506-6_17
DO - 10.1007/978-3-642-35506-6_17
M3 - Conference article published in proceeding or book
SN - 9783642355059
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 158
EP - 167
BT - Artificial General Intelligence - 5th International Conference, AGI 2012, Proceedings
T2 - 5th International Conference on Artificial General Intelligence, AGI 2012
Y2 - 8 December 2012 through 11 December 2012
ER -