Now showing items 1-4 of 4

    • Automatic rule learning exploiting morphological features for named entity recognition in Turkish 

      Tatar, S.; Cicekli I. (2011)
      Named entity recognition (NER) is one of the basic tasks in automatic extraction of information from natural language texts. In this paper, we describe an automatic rule learning method that exploits different features of ...
    • OTAP Ottoman archives internet interface 

      Şahin, Emre; Adıgüzel, Hande; Duygulu, Pınar; Kalpaklı, Mehmet (IEEE, 2012)
      Within Ottoman Text Archive Project a web interface to aid in uploading, binarization, line and word segmentation, labeling, recognition and testing of the Ottoman Turkish texts has been developed. It became possible to ...
    • Stylistic document retrieval for Turkish 

      Zamalieva, Daniya; Kalaycılar, Fırat; Kale, Aslı; Pehlivan, Selen; Can, Fazlı (IEEE, 2009-09)
      In information retrieval (IR) systems, there are a query and a collection of documents compared with this query and ranked according to a particular similarity measure. Since texts with the same content can be written by ...
    • Text summarization of turkish texts using latent semantic analysis 

      Ozsoy, M.G.; Çiçekli, İlyas; Alpaslan F.N. (ACM, 2010)
      Text summarization solves the problem of extracting important information from huge amount of text data. There are various methods in the literature that aim to find out well-formed summaries. One of the most commonly used ...