Abstract
This paper describes a hybrid symbolic/connectionist system which combines symbolic and connectionist techniques for the structural interpretation of noun phrases. Using coordination (grammatical structures with conjunctions like “and“) as a representative problem for a whole class of attachment problems, we describe a system which integrates syntactic and semantic knowledge for parsing “real world“ text from a scientific technical corpus. Our hybrid model consists of a symbolic chart parser for parsing noun phrases, a symbolic preference module for semantic expectations, and a connectionist backpropagation network for semantic coordination relationships. We show that a symbolic syntactic parser and a connectionist semantic memory model can interact for resolving coordination problems.
Part of this research was being carried out while the authuor was in the Natural Language Processing Laboratory at the university of Massachusetts, USA. I would like to thank Wendy G.Lehnert and the NLP group for their support.currently the author is with the universität Dortmud,fachbereich Informatik, 4600 Dortmund 50, FRG
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Wermter, S. (1990). Combining Symbolic and Connectionist Techniques for Coordination in Natural Language. In: Marburger, H. (eds) GWAI-90 14th German Workshop on Artificial Intelligence. Informatik-Fachberichte, vol 251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-76071-6_21
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DOI: https://doi.org/10.1007/978-3-642-76071-6_21
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