Please use this identifier to cite or link to this item:
|Title:||Evaluating N-gram based evaluation metrics for automatic keyphrase extraction|
|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|
|Appears in Collections:||Staff Publications|
Show full item record
Files in This Item:
There are no files associated with this item.
checked on Dec 9, 2017
Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.