Automatic hypertext keyphrase detection

Daniel Kelleher; Saturnino Luz

Automatic hypertext keyphrase detection

Research output: Chapter in Book/Report/Conference proceeding › Chapter (peer-reviewed) › peer-review

Abstract

This paper describes initial experiments in applying knowledge derived from hypertext structure to domain-specific automatic keyphrase extraction. It is found that hyperlink information can improve the effectiveness of automatic keyphrase extraction by 50%. However, the primary goal of this project is to apply similar techniques to information retrieval tasks such as web searching. These initial results show promise for the applicability of these techniques to more far-reaching tasks.

Original language	English
Title of host publication	Proceedings of IJCAI
Pages	1608-1609
Number of pages	2
Publication status	Published - Jul 2005
Event	19th International Joint Conference on Artificial Intelligence, IJCAI 2005 - Edinburgh, United Kingdom Duration: 30 Jul 2005 → 5 Aug 2005

Publication series

Name	IJCAI International Joint Conference on Artificial Intelligence
ISSN (Print)	1045-0823

Conference

Conference	19th International Joint Conference on Artificial Intelligence, IJCAI 2005
Country/Territory	United Kingdom
City	Edinburgh
Period	30/07/05 → 5/08/05

Access to Document

http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.99.682&rep=rep1&type=pdf

Cite this

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title = "Automatic hypertext keyphrase detection",

abstract = "This paper describes initial experiments in applying knowledge derived from hypertext structure to domain-specific automatic keyphrase extraction. It is found that hyperlink information can improve the effectiveness of automatic keyphrase extraction by 50%. However, the primary goal of this project is to apply similar techniques to information retrieval tasks such as web searching. These initial results show promise for the applicability of these techniques to more far-reaching tasks.",

author = "Daniel Kelleher and Saturnino Luz",

year = "2005",

month = jul,

language = "English",

series = "IJCAI International Joint Conference on Artificial Intelligence",

pages = "1608--1609",

booktitle = "Proceedings of IJCAI",

note = "19th International Joint Conference on Artificial Intelligence, IJCAI 2005 ; Conference date: 30-07-2005 Through 05-08-2005",

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AU - Kelleher, Daniel

AU - Luz, Saturnino

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AB - This paper describes initial experiments in applying knowledge derived from hypertext structure to domain-specific automatic keyphrase extraction. It is found that hyperlink information can improve the effectiveness of automatic keyphrase extraction by 50%. However, the primary goal of this project is to apply similar techniques to information retrieval tasks such as web searching. These initial results show promise for the applicability of these techniques to more far-reaching tasks.

UR - http://www.scopus.com/inward/record.url?scp=84880741517&partnerID=8YFLogxK

M3 - Chapter (peer-reviewed)

AN - SCOPUS:84880741517

T3 - IJCAI International Joint Conference on Artificial Intelligence

SP - 1608

EP - 1609

BT - Proceedings of IJCAI

T2 - 19th International Joint Conference on Artificial Intelligence, IJCAI 2005

Y2 - 30 July 2005 through 5 August 2005

ER -

Automatic hypertext keyphrase detection

Abstract

Publication series

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