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Journal ArticleDOI

Natural language understanding in road accident data analysis

J. Wu, +1 more
- 01 Aug 1998 - 
- Vol. 29, Iss: 7, pp 599-610
TLDR
The authors adopted the description logic system BACK to achieve a common representation of information from each of the two sources to facilitate comparison, and adapted a sub-category grammar to achieve automatic classification in BACK, and a bidirectional chart parser is adapted to operate with this grammar.
About
This article is published in Advances in Engineering Software.The article was published on 1998-08-01. It has received 10 citations till now. The article focuses on the topics: Attribute grammar & Grammar.

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Citations
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Journal ArticleDOI

Network-level accident-mapping: Distance based pattern matching using artificial neural network.

TL;DR: In this paper, the authors developed a new accident mapping algorithm based on the common variables observed in most accident databases (e.g. road name and type, direction of vehicle movement before the accident and recorded accident location).

Network-Level Accident Mapping: Distance-Based Pattern Matching Using Artificial Neural Network

TL;DR: A new accident mapping algorithm based on the common variables observed in most accident databases is developed that accurately determine the type and proportion of inaccuracies and develops a robust algorithm that can be adapted for any accident set and road network of varying complexity.
Journal ArticleDOI

Extracting safety information from multi-lingual accident reports using an ontology-based approach

TL;DR: An interactive learning approach between a human and computer software was undertaken to identify key terms in the text that are relevant to discovering meaning from multi-lingual free-text safety incident reports.

Learning from text-based close call data

TL;DR: The application of rudimentary natural language processing techniques to uncover safety information from close calls is described, which has proven that basic information extraction is possible using the rudimentary techniques, but has also identified some limitations that arise using only basic techniques.
Journal ArticleDOI

From the textual description of an accident to its causes

TL;DR: The paper describes a complete chain of treatments, from the text to the determination of the cause, set on what is called ''linguistic'' and ''semantico-pragmatic'' reasoning.
References
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Book

Natural Language Understanding

TL;DR: The text features a new chapter on statistically-based methods using large corpora and an appendix on speech recognition and spoken language understanding and information on semantics that was covered in the first edition has been largely expanded in this edition.
Book

Language As a Cognitive Process

TL;DR: Books reviewed in the AJCL will be those of interest to computat ional linguists; books in closely related disciplines may also be considered.
Book ChapterDOI

LIVING WITH CLASSIC: When and How to Use a KL-ONE-Like Language

TL;DR: Classical as mentioned in this paper is a recently developed knowledge representation system that concentrates on the definition of structured concepts, their organization into taxonomies, the creation and manipulation of individual instances of such concepts, and the key inferences of subsumption and classification.
Journal Article

Implementing systemic classification by unification

TL;DR: This paper investigates to what extent it is possible to find structure-preserving mappings from the description spaces defined by system networks to sublattices of the GAF lattice.
Journal Article

Using the information in road accident records

TL;DR: A hem folding attachment for forming an S-shaped fold in the edge of a flexible sheet prior to the stitching of the folded edge by a sewing machine.