Web-based Detection of Music Band Members and Line-Up.

Markus Schedl; Klaus Seyerlehner; Gerhard Widmer; Tim Pohle

Web-based Detection of Music Band Members and Line-Up.

Markus Schedl, Klaus Seyerlehner, Gerhard Widmer, Tim Pohle

Institute of Computational Perception

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Abstract

We present first steps towards the automatic detection of music band members and instrumentation using web content mining techniques. To this end, we combine a named entity detection method with rule-based linguistic text analysis. We report on preliminary evaluation results and discuss limitations of the current method.

Original language	English
Title of host publication	Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007) , Vienna, Austria.
Pages	117-118
Number of pages	2
Publication status	Published - 2007

Fields of science

102 Computer Sciences
102001 Artificial intelligence
102003 Image processing
102015 Information systems
202002 Audiovisual media

Cite this

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title = "Web-based Detection of Music Band Members and Line-Up.",

abstract = "We present first steps towards the automatic detection of music band members and instrumentation using web content mining techniques. To this end, we combine a named entity detection method with rule-based linguistic text analysis. We report on preliminary evaluation results and discuss limitations of the current method.",

author = "Markus Schedl and Klaus Seyerlehner and Gerhard Widmer and Tim Pohle",

year = "2007",

language = "English",

isbn = "9783854032182",

pages = "117--118",

booktitle = "Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007) , Vienna, Austria.",

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TY - GEN

T1 - Web-based Detection of Music Band Members and Line-Up.

AU - Schedl, Markus

AU - Seyerlehner, Klaus

AU - Widmer, Gerhard

AU - Pohle, Tim

PY - 2007

Y1 - 2007

N2 - We present first steps towards the automatic detection of music band members and instrumentation using web content mining techniques. To this end, we combine a named entity detection method with rule-based linguistic text analysis. We report on preliminary evaluation results and discuss limitations of the current method.

AB - We present first steps towards the automatic detection of music band members and instrumentation using web content mining techniques. To this end, we combine a named entity detection method with rule-based linguistic text analysis. We report on preliminary evaluation results and discuss limitations of the current method.

UR - https://www.scopus.com/pages/publications/84873606799

M3 - Conference proceedings

SN - 9783854032182

SP - 117

EP - 118

BT - Proceedings of the 8th International Conference on Music Information Retrieval (ISMIR 2007) , Vienna, Austria.

ER -

Web-based Detection of Music Band Members and Line-Up.

Abstract

Fields of science

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Cite this