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IE evaluation: Criticisms and recommendations

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In AAAI-2004 Workshop on Adaptive Text Extraction and Mining, (2004)

Аннотация

We survey the evaluation methodology adopted in Information Extraction (IE), as defined in the MUC conferences and in later independent efforts applying machine learning to IE. We point out a number of problematic issues that may hamper the comparison between results obtained by different researchers. Some of them are common to other NLP tasks: e.g., the difficulty of exactly identifying the effects on performance of the data (sample selection and sample size), of the domain theory (features selected), and of algorithm parameter settings.

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  • @mkroell

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