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8

ICCBR
2005
Springer

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Learning Semantic Annotations for Textual Cases

13 years 10 months ago

Learning Semantic Annotations for Textual Cases

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Abstract. In this paper, we propose an approach to attach semantic annotations to textual cases for their representation. To achieve this goal, a framework that combines machine learning algorithms, natural language processing, and domain knowledge to semi-automatically learn semantic annotations for a collection of documents from the ﬁeld of predictive maintenance is presented.

Eni Mustafaraj, Martin Hoof, Bernd Freisleben

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ICCBR 2005 | Machine Learning Algorithms | Natural Language Processing | Semantic Annotations |

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Added	27 Jun 2010
Updated	27 Jun 2010
Type	Conference
Year	2005
Where	ICCBR
Authors	Eni Mustafaraj, Martin Hoof, Bernd Freisleben

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