Abstract
Conditional random fields (CRF) model is an important and widely used sequence labeling model. In this paper, we introduce several commonly used CRF toolkits. Through the analysis and comparison of the toolkits, we give each one’s advantages and disadvantages. We also count the popularity and applicable fields of them. At last, we give our comments for each toolkit.
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Cheng, Y., Sun, C., Lin, L., Liu, Y. (2010). A Comparison Study of Conditional Random Fields Toolkits. In: Huang, DS., McGinnity, M., Heutte, L., Zhang, XP. (eds) Advanced Intelligent Computing Theories and Applications. ICIC 2010. Communications in Computer and Information Science, vol 93. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14831-6_26
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DOI: https://doi.org/10.1007/978-3-642-14831-6_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-14830-9
Online ISBN: 978-3-642-14831-6
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