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What is Intrinsic Evaluation

Handbook of Research on Digital Libraries: Design, Development, and Impact
Summarization evaluation methods which judge the quality of summaries by direct analyses in terms of some set of norms.
Published in Chapter:
Extracting the Essence: Automatic Text Summarization
Fu Lee Wang (City University of Hong Kong, Hong Kong) and Christopher C. Yang (Drexel University, USA)
DOI: 10.4018/978-1-59904-879-6.ch011
Abstract
As more information becomes available online, information-overloading results. This problem can be resolved through the application of automatic summarization. Traditional summarization models consider a document as a sequence of sentences. Actually, a large document has a well-defined hierarchical structure. Human abstractors use the hierarchical structure of the document to extract topic sentences. They start searching for topic sentences from the top level of the document structure downwards. Similarly, hierarchical summarization generates a summary for a document based on the hierarchical structure and salient features of the document. User evaluations that have been conducted indicate that hierarchical summarization outperforms traditional summarization.
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Performance Evaluation Measures for Text Mining
Assesses the performance of a text mining system component as an isolated unit unconnected to the other system components. See also extrinsic evaluation.
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Automatic Text Summarization in Digital Libraries
An evaluation which assesses the quality of summaries through direct human judgment of some criteria (e.g., grammaticality, conciseness, and readability) or comparing of “ideal” summaries.
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