research-article

Enhancing automatic term recognition algorithms with HTML tags processing

Authors:

Milan Lučanský,

Marián Šimko,

Mária BielikováAuthors Info & Claims

CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies

Pages 173 - 178

https://doi.org/10.1145/2023607.2023637

Published: 16 June 2011 Publication History

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Abstract

We focus on mining relevant information from web pages. Unlike plain text documents, web pages contain another source of potentially relevant information - easily processable mark-up. We propose an approach to keyword extraction that enhances Automatic Term Recognition (ATR) algorithms intended for processing plain text documents with an analysis of HTML tags present in the document. We distinguish tags that have a semantic potential. We present results of an experiment we conducted on a set of Wikipedia pages. It shows that enhancement yields better results than using ATR algorithms alone.

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Cited By

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Jačala MTvarožek J(2012)Named entity disambiguation based on explicit semanticsProceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science10.1007/978-3-642-27660-6_37(456-466)Online publication date: 21-Jan-2012
https://dl.acm.org/doi/10.1007/978-3-642-27660-6_37

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Enhancing automatic term recognition algorithms with HTML tags processing

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Published In

CompSysTech '11: Proceedings of the 12th International Conference on Computer Systems and Technologies

June 2011

688 pages

ISBN:9781450309172

DOI:10.1145/2023607

Editors:
Boris Rachev
Technical University of Varna, Varna, Bulgaria
,
Angel Smrikarov
University of Ruse, Ruse, Bulgaria

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 16 June 2011

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CompSysTech '11: 12th International Conference on Computer Systems and Technologies

June 16 - 17, 2011

Vienna, Austria

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Jačala MTvarožek J(2012)Named entity disambiguation based on explicit semanticsProceedings of the 38th international conference on Current Trends in Theory and Practice of Computer Science10.1007/978-3-642-27660-6_37(456-466)Online publication date: 21-Jan-2012
https://dl.acm.org/doi/10.1007/978-3-642-27660-6_37

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Improving term extraction by utilizing user annotations

Automatic Extraction and Processing of Document References

Computer assisted processing of large unstructured document sets: a case study in the construction industry