CuTeX: A system for extracting data from text tables

Hasan Davulcu; Saikat Mukherjee; Arvind Seth; I. V. Ramakrishnan

CuTeX: A system for extracting data from text tables

Hasan Davulcu
, Saikat Mukherjee
, Arvind Seth
, I. V. Ramakrishnan

Computer Science

Stony Brook University

Research output: Contribution to journal › Conference article › peer-review

Abstract

A system for extracting data from irregular text tables is designed and implemented. This system, CuteX, is an association between every items in a column. It is implemented in Java and is approximately about 3000 lines of code. The system automatically partitions the set of input text tables into directories containing correct and incorrect extractions. This paper focuses on the demonstration of illustrating the robustness and iterative process of improving the extraction yield of the clustering algorithm.

Original language	English
Pages (from-to)	457
Number of pages	1
Journal	SIGIR Forum (ACM Special Interest Group on Information Retrieval)
State	Published - 2002
Event	Proceedings of the Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval - Tampere, Finland Duration: Aug 11 2002 → Aug 15 2002

Cite this

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title = "CuTeX: A system for extracting data from text tables",

abstract = "A system for extracting data from irregular text tables is designed and implemented. This system, CuteX, is an association between every items in a column. It is implemented in Java and is approximately about 3000 lines of code. The system automatically partitions the set of input text tables into directories containing correct and incorrect extractions. This paper focuses on the demonstration of illustrating the robustness and iterative process of improving the extraction yield of the clustering algorithm.",

author = "Hasan Davulcu and Saikat Mukherjee and Arvind Seth and Ramakrishnan, \{I. V.\}",

year = "2002",

language = "English",

pages = "457",

journal = "SIGIR Forum (ACM Special Interest Group on Information Retrieval)",

issn = "0163-5840",

note = "Proceedings of the Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval ; Conference date: 11-08-2002 Through 15-08-2002",

}

TY - JOUR

T1 - CuTeX

T2 - Proceedings of the Twenty-Fifth Annual International ACM SIGIR Conference on Research and Development in Information Retrieval

AU - Davulcu, Hasan

AU - Mukherjee, Saikat

AU - Seth, Arvind

AU - Ramakrishnan, I. V.

PY - 2002

Y1 - 2002

N2 - A system for extracting data from irregular text tables is designed and implemented. This system, CuteX, is an association between every items in a column. It is implemented in Java and is approximately about 3000 lines of code. The system automatically partitions the set of input text tables into directories containing correct and incorrect extractions. This paper focuses on the demonstration of illustrating the robustness and iterative process of improving the extraction yield of the clustering algorithm.

AB - A system for extracting data from irregular text tables is designed and implemented. This system, CuteX, is an association between every items in a column. It is implemented in Java and is approximately about 3000 lines of code. The system automatically partitions the set of input text tables into directories containing correct and incorrect extractions. This paper focuses on the demonstration of illustrating the robustness and iterative process of improving the extraction yield of the clustering algorithm.

UR - https://www.scopus.com/pages/publications/0036989535

M3 - Conference article

AN - SCOPUS:0036989535

SN - 0163-5840

SP - 457

JO - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

JF - SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Y2 - 11 August 2002 through 15 August 2002

ER -

CuTeX: A system for extracting data from text tables

Abstract

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