Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/41323
Title: Evaluating N-gram based evaluation metrics for automatic keyphrase extraction
Authors: Kim, S.N.
Baldwin, T.
Kan, M.-Y. 
Issue Date: 2010
Source: 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
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