A novel retrieval approach reflecting variability of syntactic phrase representation

Young In Song; Kyoung Soo Han; Sang Bum Kim; So Young Park; Hae Chang Rim

doi:10.1007/s10844-007-0045-0

A novel retrieval approach reflecting variability of syntactic phrase representation

Young In Song, Kyoung Soo Han, Sang Bum Kim, So Young Park, Hae Chang Rim

Research output: Contribution to journal › Article › peer-review

6 Citations (Scopus)

Abstract

In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.

Original language	English
Pages (from-to)	265-286
Number of pages	22
Journal	Journal of Intelligent Information Systems
Volume	31
Issue number	3
DOIs	https://doi.org/10.1007/s10844-007-0045-0
Publication status	Published - 2008 Dec

Keywords

Head-modifier pair
Information retrieval
Retrieval model
Structural language model
Syntactic phrase
Variability of phrase
Weighting phrases

ASJC Scopus subject areas

Software
Information Systems
Hardware and Architecture
Computer Networks and Communications
Artificial Intelligence

Access to Document

10.1007/s10844-007-0045-0

Cite this

@article{a1f614308e424b319cbec963140061ad,

title = "A novel retrieval approach reflecting variability of syntactic phrase representation",

abstract = "In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.",

keywords = "Head-modifier pair, Information retrieval, Retrieval model, Structural language model, Syntactic phrase, Variability of phrase, Weighting phrases",

author = "Song, {Young In} and Han, {Kyoung Soo} and Kim, {Sang Bum} and Park, {So Young} and Rim, {Hae Chang}",

year = "2008",

month = dec,

doi = "10.1007/s10844-007-0045-0",

language = "English",

volume = "31",

pages = "265--286",

journal = "Journal of Intelligent Information Systems",

issn = "0925-9902",

publisher = "Springer Netherlands",

number = "3",

}

TY - JOUR

T1 - A novel retrieval approach reflecting variability of syntactic phrase representation

AU - Song, Young In

AU - Han, Kyoung Soo

AU - Kim, Sang Bum

AU - Park, So Young

AU - Rim, Hae Chang

PY - 2008/12

Y1 - 2008/12

N2 - In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.

AB - In this paper, we introduce variability of syntactic phrases and propose a new retrieval approach reflecting the variability of syntactic phrase representation. With variability measure of a phrase, we can estimate how likely a phrase in a given query would appear in relevant documents and control the impact of syntactic phrases in a retrieval model. Various experimental results over different types of queries and document collections show that our retrieval model based on variability of syntactic phrases is very effective in terms of retrieval performance, especially for long natural language queries.

KW - Head-modifier pair

KW - Information retrieval

KW - Retrieval model

KW - Structural language model

KW - Syntactic phrase

KW - Variability of phrase

KW - Weighting phrases

UR - http://www.scopus.com/inward/record.url?scp=55849090688&partnerID=8YFLogxK

U2 - 10.1007/s10844-007-0045-0

DO - 10.1007/s10844-007-0045-0

M3 - Article

AN - SCOPUS:55849090688

SN - 0925-9902

VL - 31

SP - 265

EP - 286

JO - Journal of Intelligent Information Systems

JF - Journal of Intelligent Information Systems

IS - 3

ER -

A novel retrieval approach reflecting variability of syntactic phrase representation

Abstract

Keywords

ASJC Scopus subject areas

Access to Document

Other files and links

Fingerprint

Cite this