Hypertext authoring for linking relevant segments of related instruction manuals

Authors:
Hiroshi Nakagawa;Tatsunori Mori;Nobuyuki Omori;Jun Okamura
Affiliations:
Yokohama National University, Yokohama, Japan;Yokohama National University, Yokohama, Japan;Yokohama National University, Yokohama, Japan;Yokohama National University, Yokohama, Japan
Venue:
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 2
Year:
1998

Citing 4
Cited 1

Approaches to passage retrieval in full text information systems

SIGIR '93 Proceedings of the 16th annual international ACM SIGIR conference on Research and development in information retrieval
On the measurement of inter-linker consistency and retrieval effectiveness in hypertext databases

SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
Might a semantic lexicon support hypertextual authoring?

ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A method of automatic hypertext construction from an encyclopedic dictionary of a specific field

ANLC '92 Proceedings of the third conference on Applied natural language processing

Constraining the use of general lexical resources for automatic hyperlink generation

COLING '04 Proceedings of the 20th international conference on Computational Linguistics

Quantified Score

Hi-index	0.00

Visualization

Abstract

Recently manuals of industrial products become large and often consist of separated volumes. In reading such individual but related manuals, we must consider the relation among segments, which contain explanations of sequences of operation. In this paper, we propose methods for linking relevant segments in hypertext authoring of a set of related manuals. Our method is based on the similarity calculation between two segments. Our experimental results show that the proposed method improves both recall and precision comparing with the conventional tf.idf based method.