Toplam kayıt 5, listelenen: 1-5

  • Constructing a WordNet for Turkish using manual and automatic annotation 

    Ehsani, Razieh; Solak, Ercan; Yıldız, Olcay Taner (Assoc Computing Machinery, 2018-05-01)
    In this article, we summarize the methodology and the results of our 2-year-long efforts to construct a comprehensive WordNet for Turkish. In our approach, we mine a dictionary for synonym candidate pairs and manually mark ...
  • Construction of a Turkish proposition bank 

    Ak, Koray; Toprak, Cansu; Esgel, Volkan; Yıldız, Olcay Taner (Tubitak Scientific & Technical Research Council, 2018)
    This paper describes our approach to developing the Turkish PropBank by adopting the semantic role-labeling guidelines of the original PropBank and using the translation of the English Penn-TreeBank as a resource. We discuss ...
  • Doǧrudan pazarlama amaçli hedef kitle analizi 

    Kegeci, Sinan; Özbek, Eyüp Erkan; Türkel, Mustafa Sertaç; Düzag̃aç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    Direct marketing, which is one of the most popular marketing approaches in the recent years, can be defined as the shortest and most accurate way of matching suitable products with the appropriate people. In this paper, ...
  • İlişkisel veri tabanlarında mükerrer kayıtların makine öǧrenmesiyle tespiti 

    Bayrak, Ahmet Tuğrul; Yılmaz, Aykut İnan; Yılmaz, Kemal Burak; Düzağaç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    Veri miktarının artışına paralel olarak, ilişkisel veri tabanlarında mükerrer kayıtlar da artmaktadır. Artan bu kayıtlar kullanıldıkları rapor veya analizlerde tutarsızlığa sebep olabilmektedir. Bu sorunu en aza indirgemek ...
  • Müşterilerin GSP analizi kullanarak kümelenmesi 

    Pakyürek, Muhammet; Sezgin, Mehmet Selman; Kestepe, Sedat; Bora, Büşra; Düzağaç, Remzi; Yıldız, Olcay Taner (Institute of Electrical and Electronics Engineers Inc., 2018-07-05)
    In this study, customers' behaviors are determined by detecting natural clusterings using existing reservation and customer data. We also customize their services and sales strategies according to these behaviors. The basic ...