Combining Symbolic and Connectionist Techniques for Coordination in Natural Language
Proceedings of the 14th German Workshop on Artificial Intelligence,
Editors: Marburger, H. ,
pages 186--195,
- 1990
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.
@InProceedings{Wer90, author = {Wermter, Stefan}, title = {Combining Symbolic and Connectionist Techniques for Coordination in Natural Language}, booktitle = {Proceedings of the 14th German Workshop on Artificial Intelligence}, editors = {Marburger, H. }, number = {}, volume = {}, pages = {186--195}, year = {1990}, month = {}, publisher = {}, doi = {}, }