A generalized framework for revealing analogous themes across related topics

Marx Zvika; Dagan Ido; Shamir Eli

A generalized framework for revealing analogous themes across related topics

Marx Zvika^*, Dagan Ido, Shamir Eli

^*Corresponding author for this work

Einstein Institute of Mathematics

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

Abstract

This work addresses the task of identifying thematic correspondences across subcorpora focused on different topics. We introduce an unsupervised algorithmic framework based on distributional data clustering, which generalizes previous initial works on this task. The empirical results reveal interesting commonalities of different religions. We evaluate the results through measuring the overlap of our clusters with clusters compiled manually by experts. The tested variants of our framework are shown to outperform alternative methods applicable to the task.

Original language	English
Pages	979-986
Number of pages	8
State	Published - 2005
Event	Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT - Vancouver, BC, Canada Duration: 6 Oct 2005 → 8 Oct 2005

Conference

Conference	Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT
Country/Territory	Canada
City	Vancouver, BC
Period	6/10/05 → 8/10/05

Cite this

Zvika, M., Ido, D., & Eli, S. (2005). A generalized framework for revealing analogous themes across related topics. 979-986. Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada.

Zvika, Marx ; Ido, Dagan ; Eli, Shamir. / A generalized framework for revealing analogous themes across related topics. Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada.8 p.

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title = "A generalized framework for revealing analogous themes across related topics",

abstract = "This work addresses the task of identifying thematic correspondences across subcorpora focused on different topics. We introduce an unsupervised algorithmic framework based on distributional data clustering, which generalizes previous initial works on this task. The empirical results reveal interesting commonalities of different religions. We evaluate the results through measuring the overlap of our clusters with clusters compiled manually by experts. The tested variants of our framework are shown to outperform alternative methods applicable to the task.",

author = "Marx Zvika and Dagan Ido and Shamir Eli",

year = "2005",

language = "אנגלית",

pages = "979--986",

note = "Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT ; Conference date: 06-10-2005 Through 08-10-2005",

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Zvika, M, Ido, D & Eli, S 2005, 'A generalized framework for revealing analogous themes across related topics', Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada, 6/10/05 - 8/10/05 pp. 979-986.

A generalized framework for revealing analogous themes across related topics. / Zvika, Marx; Ido, Dagan; Eli, Shamir.
2005. 979-986 Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada.

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

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AB - This work addresses the task of identifying thematic correspondences across subcorpora focused on different topics. We introduce an unsupervised algorithmic framework based on distributional data clustering, which generalizes previous initial works on this task. The empirical results reveal interesting commonalities of different religions. We evaluate the results through measuring the overlap of our clusters with clusters compiled manually by experts. The tested variants of our framework are shown to outperform alternative methods applicable to the task.

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T2 - Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT

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Zvika M, Ido D, Eli S. A generalized framework for revealing analogous themes across related topics. 2005. Paper presented at Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing, HLT/EMNLP 2005, Co-located with the 2005 Document Understanding Conference, DUC and the 9th International Workshop on Parsing Technologies, IWPT, Vancouver, BC, Canada.

A generalized framework for revealing analogous themes across related topics

Abstract

Conference

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