@inproceedings{
    LindhKnuutilaHonkelaICANNGA13,
    editor = "Tomassini, M. and Antonioni, A. and Daolio, F. and Buesser, P.",
    author = "Lindh-Knuutila, Tiina and Honkela, Timo",
    responsibleauthor = "Tiina Lindh-Knuutila",
    eventtime = "April 4-6",
    isbn = "978-3-642-37212-4",
    language = "en",
    title = "Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments",
    eventlocation = "Lausanne, Switzerland",
    booktitle = "Adaptive and Natural Computing Algorithms, Proceedings of ICANNGA 2013",
    abstract = "We present an approach for comparing human-made and automatically generated semantic representations with an assumption that neither of these has a primary status over the other. In the experimental part, we compare the results gained by using independent component analysis and the self-organizing map algorithm on word context analysis with a semantically labeled dictionary called BLESS. The data-driven methods are useful in assessing the quality of the hand-created semantic resources and these resources can be used to evaluate the outcome of the automated process. We present a number of specific findings that go beyond typical quantitative evaluations of the results of data-driven methods in which the manually created resources are usually taken as a gold standard.",
    juforank = "NA",
    url = "http://link.springer.com/chapter/10.1007%2F978-3-642-37213-1_44",
    flags = "copy COG Tling Tcogn",
    il = "no",
    eventdetails = "April 4-6, Lausanne, Switzerland",
    year = "2013",
    unitcode = "T306-100",
    kay = "NA",
    impactfactor = "A4",
    pages = "428-437"
}