Segmentation of on-line job advertisements

Kwok Wai Cheung; King-Wai Fung; Kwok-Ching Tsui

Segmentation of on-line job advertisements

Kwok Wai Cheung, King-Wai Fung, Kwok-Ching Tsui

Department of Computer Science

Research output: Contribution to conference › Conference paper

Abstract

To build a search engine with high precision and recall rates, more sophisticated techniques are inevitable for on-line document understanding. In this paper, a prototype for segmenting on-line job ads using the pattern matching approach is proposed. To evaluate its effectiveness, it has been used to extract company names and job titles from s set of real job ads with promising results.

Original language	English
Pages	1117
Number of pages	1
Publication status	Published - May 2001
Event	Tenth International World Wide Web Conference - Hong Kong, China Duration: 1 May 2001 → 5 May 2005

Conference

Conference	Tenth International World Wide Web Conference
Period	1/05/01 → 5/05/05

User-Defined Keywords

On-line document understanding
text segmentation
information extraction

Cite this

@conference{59bd866029da40858d754317ab5a9ab1,

title = "Segmentation of on-line job advertisements",

abstract = "To build a search engine with high precision and recall rates, more sophisticated techniques are inevitable for on-line document understanding. In this paper, a prototype for segmenting on-line job ads using the pattern matching approach is proposed. To evaluate its effectiveness, it has been used to extract company names and job titles from s set of real job ads with promising results.",

keywords = "On-line document understanding, text segmentation, information extraction",

author = "Cheung, {Kwok Wai} and King-Wai Fung and Kwok-Ching Tsui",

year = "2001",

month = may,

language = "English",

pages = "1117",

note = "Tenth International World Wide Web Conference ; Conference date: 01-05-2001 Through 05-05-2005",

}

TY - CONF

T1 - Segmentation of on-line job advertisements

AU - Cheung, Kwok Wai

AU - Fung, King-Wai

AU - Tsui, Kwok-Ching

PY - 2001/5

Y1 - 2001/5

N2 - To build a search engine with high precision and recall rates, more sophisticated techniques are inevitable for on-line document understanding. In this paper, a prototype for segmenting on-line job ads using the pattern matching approach is proposed. To evaluate its effectiveness, it has been used to extract company names and job titles from s set of real job ads with promising results.

AB - To build a search engine with high precision and recall rates, more sophisticated techniques are inevitable for on-line document understanding. In this paper, a prototype for segmenting on-line job ads using the pattern matching approach is proposed. To evaluate its effectiveness, it has been used to extract company names and job titles from s set of real job ads with promising results.

KW - On-line document understanding

KW - text segmentation

KW - information extraction

M3 - Conference paper

SP - 1117

T2 - Tenth International World Wide Web Conference

Y2 - 1 May 2001 through 5 May 2005

ER -

Segmentation of on-line job advertisements

Abstract

Conference

User-Defined Keywords

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