Using a divergence model for MediaEval's Tagging Task (professional version)

MediaEval Benchmarking Initiative for Multimedia Evaluation - The "Multi" in Multimedia: Speech, Audio, Visual Content, Tags, Users, Context, MediaEval 2010 Working Notes Proceedings

Volumn , Issue , 2010, Pages

  Wartena, Christian ^a  

^a Novay   (Netherlands)

Author keywords

Experimentation; Measurement; Performance

Indexed keywords

DOCUMENT MODEL; EXPERIMENTATION; LANGUAGE MODEL; PERFORMANCE; QUERY TERMS;

BENCHMARKING; COMPUTATIONAL LINGUISTICS; MARKOV PROCESSES; MEASUREMENTS;

USER INTERFACES;

EID: 84877723505     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (7)

1. Apache uima. http://incubator.apache.org/uima/.
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3. L. Gazendam, C. Wartena, V. Malaise, G. Schreiber, A. de Jong, and H. Brugman. Automatic annotation suggestions for audiovisual archives: Evaluation aspects. Interdisciplinary Science Reviews, 34, 2(3):172-188, 2009.
4. J. D. Lafferty and C. Zhai. Document language models, query models, and risk minimization for information retrieval. In W. B. Croft, D. J. Harper, D. H. Kraft, and J. Zobel, editors, SIGIR, pages 111-119. ACM, 2001.
5. C. Wartena and R. Brussee. Topic detection by clustering keywords. In DEXA Workshops, pages 54-58. IEEE Computer Society, 2008.
6. C. Wartena, R. Brussee, and W. Slakhorst. Keyword extraction using word co-occurrence. In DEXA Workshops, pages 54-58. IEEE Computer Society, 2010.
7. C. Zhai and J. D. Lafferty. Model-based feedback in the language modeling approach to information retrieval. In CIKM, pages 403-410. ACM, 2001.