A flexible interface for linking applications to Penman's sentence generator
HLT '89 Proceedings of the workshop on Speech and Natural Language
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Semantic interpretation using KL-ONE
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
The design of a computer language for linguistic information
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A unification method for disjunctive feature descriptions
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Conditional descriptions in Functional Unification Grammar
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Unification of disjunctive feature descriptions
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
An experimental parser for systemic grammars
COLING '88 Proceedings of the 12th conference on Computational linguistics - Volume 1
Hi-index | 0.00 |
This paper describes a particular approach to parsing that utilizes recent advances in unification-based parsing and in classification-based knowledge representation. As unification-based grammatical frameworks are extended to handle richer descriptions of linguistic information, they begin to share many of the properties that have been developed in KL-ONE-like knowledge representation systems. This commonality suggests that some of the classification-based representation techniques can be applied to unification-based linguistic descriptions. This merging supports the integration of semantic and syntactic information into the same system, simultaneously subject to the same types of processes, in an efficient manner. The result is expected to be more efficient parsing due to the increased organization of knowledge.