AKT EPrint Archive

Pascal Challenge: The Evaluation of Machine Learning for Information Extraction

Ireson, Mr. Neil and Ciravegna, Prof. Fabio (2005) Pascal Challenge: The Evaluation of Machine Learning for Information Extraction. Machine Learning for the Semantic Web Dagstuhl Seminar 05071, Dagstuhl, DE.

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If the Semantic Web is to utilise the vast number of documents available on the WWW it requires an effective way to automatically annotate those docu- ments, enabling the extraction of relevant informa- tion. The Pascal Challenge on the Evaluation of Ma- chine Learning for Information Extraction provided a common basis on which it assess the relative per- formance of multifarious machine learning systems. This paper describes the challenge and presents an initial analysis of the results.

Subjects:AKT Challenges > Knowledge acquisition
ID Code:400
Deposited By:Norton, Mr Barry
Deposited On:12 March 2005
Alternative Locations:http://www.smi.ucd.ie/Dagstuhl-MLSW/proceedings/ireson-ciravegna.pdf

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