A domain independent environment for creating information extraction modules

Ronen Feldman; Yonatan Aumann; Yair Liberzon; Kfir Ankori; Jonathan Schler; Benjamin Rosenfeld

doi:10.1145/502585.502699

A domain independent environment for creating information extraction modules

Ronen Feldman, Yonatan Aumann, Yair Liberzon, Kfir Ankori, Jonathan Schler, Benjamin Rosenfeld

1 World Trade Center

Research output: Contribution to conference › Paper › peer-review

7 Scopus citations

Abstract

Text-Mining is a growing area of interest within the field of Data Mining and Knowledge Discovery. Given a collection of text documents, most approaches to Text Mining perform knowledge-discovery operations either on external tags associated with each document, or on the set of all words within each document. Both approaches suffer from limitations. This paper focuses on an intermediate approach, one that we call text mining via information extraction, in which knowledge discovery takes place on focused, relevant terms, phrases and facts, as extracted from the documents.

Original language	English
Pages	586-588
Number of pages	3
DOIs	https://doi.org/10.1145/502585.502699
State	Published - 2001
Externally published	Yes
Event	Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management - Atlanta, GA, United States Duration: 5 Nov 2001 → 10 Nov 2001

Conference

Conference	Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management
Country/Territory	United States
City	Atlanta, GA
Period	5/11/01 → 10/11/01

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10.1145/502585.502699

Cite this

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title = "A domain independent environment for creating information extraction modules",

abstract = "Text-Mining is a growing area of interest within the field of Data Mining and Knowledge Discovery. Given a collection of text documents, most approaches to Text Mining perform knowledge-discovery operations either on external tags associated with each document, or on the set of all words within each document. Both approaches suffer from limitations. This paper focuses on an intermediate approach, one that we call text mining via information extraction, in which knowledge discovery takes place on focused, relevant terms, phrases and facts, as extracted from the documents.",

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year = "2001",

doi = "10.1145/502585.502699",

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Feldman, R, Aumann, Y, Liberzon, Y, Ankori, K, Schler, J & Rosenfeld, B 2001, 'A domain independent environment for creating information extraction modules', Paper presented at Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management, Atlanta, GA, United States, 5/11/01 - 10/11/01 pp. 586-588. https://doi.org/10.1145/502585.502699

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AU - Feldman, Ronen

AU - Aumann, Yonatan

AU - Liberzon, Yair

AU - Ankori, Kfir

AU - Schler, Jonathan

AU - Rosenfeld, Benjamin

PY - 2001

Y1 - 2001

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AB - Text-Mining is a growing area of interest within the field of Data Mining and Knowledge Discovery. Given a collection of text documents, most approaches to Text Mining perform knowledge-discovery operations either on external tags associated with each document, or on the set of all words within each document. Both approaches suffer from limitations. This paper focuses on an intermediate approach, one that we call text mining via information extraction, in which knowledge discovery takes place on focused, relevant terms, phrases and facts, as extracted from the documents.

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T2 - Proceedings of the 2001 ACM CIKM: 10th International Conference on Information and Knowledge Management

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A domain independent environment for creating information extraction modules

Abstract

Conference

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