Research for the specific type name entity retrieval

Chen Chen; Huilin Liu; Guoren Wang; Qiushi Wang

Research for the specific type name entity retrieval

Chen Chen^*
, Huilin Liu
, Guoren Wang
, Qiushi Wang

^*Corresponding author for this work

Northeastern University China

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

Abstract

For specific type entity retrieval users, the popular search engines based on pages view can't fulfill the accuracy requirement yet. This paper proposes a novel entity retrieval model. By the model, some specific entity can be extracted and returned for certain query. To achieve a reasonable result list, the paper proposes an effective rank strategy for returned entities. The experiments show that our model performs effectively. 1548-7741/

Original language	English
Pages (from-to)	1229-1236
Number of pages	8
Journal	Journal of Information and Computational Science
Volume	6
Issue number	3
Publication status	Published - Jun 2009
Externally published	Yes

Keywords

Entity Rank
Entity Retrieval
Name Entity Recognition

Cite this

@article{e8608335301242e4a8c6e82ce0c3db3e,

title = "Research for the specific type name entity retrieval",

abstract = "For specific type entity retrieval users, the popular search engines based on pages view can't fulfill the accuracy requirement yet. This paper proposes a novel entity retrieval model. By the model, some specific entity can be extracted and returned for certain query. To achieve a reasonable result list, the paper proposes an effective rank strategy for returned entities. The experiments show that our model performs effectively. 1548-7741/",

keywords = "Entity Rank, Entity Retrieval, Name Entity Recognition",

author = "Chen Chen and Huilin Liu and Guoren Wang and Qiushi Wang",

year = "2009",

month = jun,

language = "English",

volume = "6",

pages = "1229--1236",

journal = "Journal of Information and Computational Science",

issn = "1548-7741",

publisher = "Binary Information Press",

number = "3",

}

TY - JOUR

T1 - Research for the specific type name entity retrieval

AU - Chen, Chen

AU - Liu, Huilin

AU - Wang, Guoren

AU - Wang, Qiushi

PY - 2009/6

Y1 - 2009/6

N2 - For specific type entity retrieval users, the popular search engines based on pages view can't fulfill the accuracy requirement yet. This paper proposes a novel entity retrieval model. By the model, some specific entity can be extracted and returned for certain query. To achieve a reasonable result list, the paper proposes an effective rank strategy for returned entities. The experiments show that our model performs effectively. 1548-7741/

AB - For specific type entity retrieval users, the popular search engines based on pages view can't fulfill the accuracy requirement yet. This paper proposes a novel entity retrieval model. By the model, some specific entity can be extracted and returned for certain query. To achieve a reasonable result list, the paper proposes an effective rank strategy for returned entities. The experiments show that our model performs effectively. 1548-7741/

KW - Entity Rank

KW - Entity Retrieval

KW - Name Entity Recognition

UR - https://www.scopus.com/pages/publications/70350462084

M3 - Article

AN - SCOPUS:70350462084

SN - 1548-7741

VL - 6

SP - 1229

EP - 1236

JO - Journal of Information and Computational Science

JF - Journal of Information and Computational Science

IS - 3

ER -

Research for the specific type name entity retrieval

Abstract

Keywords

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