Developing a natural language interface to complex data
ACM Transactions on Database Systems (TODS)
An English language question answering system for a large relational database
Communications of the ACM
Natural language interfaces using limited semantic information
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Analysis and processing of compact text
COLING '82 Proceedings of the 9th conference on Computational linguistics - Volume 1
Transporting the linguistic string project system from a medical to a Navy domain
ACM Transactions on Information Systems (TOIS)
Discovery procedures for sublanguage selectional patterns: initial experiments
Computational Linguistics
Analyzing telegraphic messages
HLT '89 Proceedings of the workshop on Speech and Natural Language
Communications of the ACM
Handling ill-formed input: session introduction
ANLC '83 Proceedings of the first conference on Applied natural language processing
Compansion: From research prototype to practical integration
Natural Language Engineering
Automated determination of sublanguage syntactic usage
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
A computational analysis of complex noun phrases in Navy messages
ACL '84 Proceedings of the 10th International Conference on Computational Linguistics and 22nd annual meeting on Association for Computational Linguistics
Sentence fragments regular structures
ACL '88 Proceedings of the 26th annual meeting on Association for Computational Linguistics
Model-based analysis of messages about equipment
HLT '86 Proceedings of the workshop on Strategic computing natural language
ULINK: a semantics-driven approach to understanding ungrammatical input
AAAI'91 Proceedings of the ninth National conference on Artificial intelligence - Volume 1
| Hi-index | 0.03 |
This paper identifies the types of sentence fragments found in the text of two domains: medical records and Navy equipment status messages. The fragment types are related to full sentence forms on the basis of the elements which were regularly deleted. A breakdown of the fragment types and their distributions in the two domains is presented. An approach to reconstructing the semantic class of deleted elements in the medical records is proposed which is based on the semantic patterns recognized in the domain.