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Proceedings of the Workshop on Software Engineering, Testing, and Quality Assurance for Natural Language Processing - SETQA-NLP '09
To understand the key characteristics of NLP tools, evaluation and comparison against different tools is important. And as NLP applications tend to consist of multiple semiindependent sub-components, it is not always enough to just evaluate complete systems, a fine grained evaluation of underlying components is also often worthwhile. Standardization of NLP components and resources is not only significant for reusability, but also in that it allows the comparison of individual components indoi:10.3115/1621947.1621951 fatcat:aqogzkwjmndbbcgtzunthq46ua