Conceptual structures: information processing in mind and machine
Conceptual structures: information processing in mind and machine
Computer interpretation of natural language descriptions
Computer interpretation of natural language descriptions
Semantic interpretation and the resolution of ambiguity
Semantic interpretation and the resolution of ambiguity
Artificial Intelligence Programming
Artificial Intelligence Programming
Data Structures and Algorithms
Data Structures and Algorithms
Taxonomic lattice structures for situation recognition
TINLAP '78 Proceedings of the 1978 workshop on Theoretical issues in natural language processing
Kind Types in knowledge representation
COLING '86 Proceedings of the 11th coference on Computational linguistics
Concretion: assumption-based understanding
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
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Semantic disambiguation is a difficult problem in natural language analysis. A better strategy for semantic disambiguation is to accumulate constraints obtained during the analytical process of a sentence, and disambiguate as early as possible the meaning incrementally using the constraints. We propose such a computational model of natural language analysis, and call it the 'incremental disambiguation model.' The semantic disambiguation process can be equated with the downward traversal of a discrimination network. However, the discrimination network has a problem in that it cannot be traversed unless constraints are entered in an a priori-fixed order. In general, the order in which constraints are obtained cannot be a priori fixed, so it is not always possible to traverse the network downward during the analytical process. In this paper, we propose a method which can traverse the discrimination network according to the order in which constraints are obtained incrementally during the analytical process. This order is independent of the a priori-fixed order of the network.