Information extraction

Lei Zhang, C. Hoede

Research output: Book/ReportReportProfessional

14 Downloads (Pure)

Abstract

In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing. Moreover, we point out that expansion of concepts plays an important role in thinking, so we study the expansion of knowledge graphs to use context information for reasoning and merging of templates.
Original languageUndefined
Place of PublicationEnschede
PublisherUniversity of Twente, Department of Applied Mathematics
Number of pages39
ISBN (Print)0169-2690
Publication statusPublished - 2002

Publication series

NameMemorandum Faculteit TW
PublisherUniversity of Twente, Department of Applied Mathematics
No.1657
ISSN (Print)0169-2690

Keywords

  • MSC-05C99
  • METIS-208514
  • EWI-3477
  • IR-65843
  • MSC-68F99

Cite this

Zhang, L., & Hoede, C. (2002). Information extraction. (Memorandum Faculteit TW; No. 1657). Enschede: University of Twente, Department of Applied Mathematics.
Zhang, Lei ; Hoede, C. / Information extraction. Enschede : University of Twente, Department of Applied Mathematics, 2002. 39 p. (Memorandum Faculteit TW; 1657).
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title = "Information extraction",
abstract = "In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing. Moreover, we point out that expansion of concepts plays an important role in thinking, so we study the expansion of knowledge graphs to use context information for reasoning and merging of templates.",
keywords = "MSC-05C99, METIS-208514, EWI-3477, IR-65843, MSC-68F99",
author = "Lei Zhang and C. Hoede",
note = "Imported from MEMORANDA",
year = "2002",
language = "Undefined",
isbn = "0169-2690",
series = "Memorandum Faculteit TW",
publisher = "University of Twente, Department of Applied Mathematics",
number = "1657",

}

Zhang, L & Hoede, C 2002, Information extraction. Memorandum Faculteit TW, no. 1657, University of Twente, Department of Applied Mathematics, Enschede.

Information extraction. / Zhang, Lei; Hoede, C.

Enschede : University of Twente, Department of Applied Mathematics, 2002. 39 p. (Memorandum Faculteit TW; No. 1657).

Research output: Book/ReportReportProfessional

TY - BOOK

T1 - Information extraction

AU - Zhang, Lei

AU - Hoede, C.

N1 - Imported from MEMORANDA

PY - 2002

Y1 - 2002

N2 - In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing. Moreover, we point out that expansion of concepts plays an important role in thinking, so we study the expansion of knowledge graphs to use context information for reasoning and merging of templates.

AB - In this paper we present a new approach to extract relevant information by knowledge graphs from natural language text. We give a multiple level model based on knowledge graphs for describing template information, and investigate the concept of partial structural parsing. Moreover, we point out that expansion of concepts plays an important role in thinking, so we study the expansion of knowledge graphs to use context information for reasoning and merging of templates.

KW - MSC-05C99

KW - METIS-208514

KW - EWI-3477

KW - IR-65843

KW - MSC-68F99

M3 - Report

SN - 0169-2690

T3 - Memorandum Faculteit TW

BT - Information extraction

PB - University of Twente, Department of Applied Mathematics

CY - Enschede

ER -

Zhang L, Hoede C. Information extraction. Enschede: University of Twente, Department of Applied Mathematics, 2002. 39 p. (Memorandum Faculteit TW; 1657).