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|Title:||Evaluating N-gram based evaluation metrics for automatic keyphrase extraction||Authors:||Kim, S.N.
|Issue Date:||2010||Citation:||Kim, S.N.,Baldwin, T.,Kan, M.-Y. (2010). Evaluating N-gram based evaluation metrics for automatic keyphrase extraction. Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference 2 : 572-580. ScholarBank@NUS Repository.||Abstract:||This paper describes a feasibility study of n-gram-based evaluation metrics for automatic key phrase extraction. To account for near-misses currently ignored by standard evaluation metrics, we adapt various evaluation metrics developed for machine translation and summarization, and also the R-precision evaluation metric from key phrase evaluation. In evaluation, the R-precision metric is found to achieve the highest correlation with human annotations. We also provide evidence that the degree of semantic similarity varies with the location of the partially-matching component words.||Source Title:||Coling 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference||URI:||http://scholarbank.nus.edu.sg/handle/10635/41323|
|Appears in Collections:||Staff Publications|
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