@inproceedings{,
    author = {Jeong, Do-Heon; Gim, Jangwon; Jung, Hanmin; Geierhos, Michaela; Bäumer, Frederik Simon},
    title = {Comparative study on disambiguating acronyms in the scientific papers using the open knowledge base},
    editor = {},
    booktitle = {Conference Proceedings of the 9th Asia Pacific International Conference on Information Science and Technology (APIC-IST 2014)},
    series = {},
    journal = {},
    address = {},
    publisher = {},
    edition = {},
    year = {2014},
    isbn = {},
    volume = {},
    number =  {},
    pages = {369-371},
    url = {},
    doi = {},
    keywords = {},
    abstract = {In this paper, we focus on the acronym representation, the concept of abbreviation of major terminology. To this end, we try to find the most efficient method to disambiguate the sense of the acronym. Comparing the various feature types, we found that using single noun (NN) overwhelmingly outperformed noun phrase (NP) base. Moreover, the result also showed that collocation information (CL) was not efficient for enhancing performance considering a huge extra data processing. We expect to apply the open knowledge base Wikipedia to scholarly service to enhance the quality of the local knowledge base and to develop value-added services.},
    note = {},
    
    
    
}