Phrasal analysis of long noun sequences

Authors:
Yigal Arens;John J. Granacki;Alice C. Parker
Affiliations:
University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA;University of Southern California, Los Angeles, CA
Venue:
ACL '87 Proceedings of the 25th annual meeting on Association for Computational Linguistics
Year:
1987

Citing 6
Cited 3

The ADAM advanced design automation system: overview, planner and natural language interface

DAC '85 Proceedings of the 22nd ACM/IEEE Design Automation Conference
Theory of Syntactic Recognition for Natural Languages

Theory of Syntactic Recognition for Natural Languages
Understanding Natural Language

Understanding Natural Language
Knowledge-based parsing.

Knowledge-based parsing.
The semantic interpretation of compound nominals

The semantic interpretation of compound nominals
PHRAN: a knowledge-based natural language understander

ACL '80 Proceedings of the 18th annual meeting on Association for Computational Linguistics

Constructing Multilevel Metadata Networks for Sharing Dispersed and Transient Information in a Mobile Environment

Multimedia Tools and Applications
A corpus-based approach for Korean nominal compound analysis based on linguistic and statistical information

Natural Language Engineering
Corpus statistics meet the noun compound: some empirical results

ACL '95 Proceedings of the 33rd annual meeting on Association for Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Noun phrases consisting of a sequence of nouns (sometimes referred to as nominal compounds) pose considerable difficulty for language analyzers but are common in many technical domains. The problems are compounded when some of the nouns in the sequence are ambiguously also verbs. The phrasal approach to language analysis, as implemented in PHRAN (PHRasal ANalyzer), has been extended to handle the recognition and partial analysis of such constructions. The phrasal analysis of a noun sequence is performed to an extent sufficient for continued analysis of the sentence in which it appears. PHRAN is currently being used as part of the SPAN (SPecification ANalysis) natural language interface to the USC Advanced Design AutoMation system (ADAM) (Granacki et al, 1985). PHRAN-SPAN is an interface for entering and interpreting digital system specifications, in which long noun sequences occur often. The extensions to PHRAN's knowledge base to recognize these constructs are described, along with the algorithm used to detect and resolve ambiguities which arise in the noun sequences.