Now showing items 1-12 of 12

    • Automatic categorization and summarization of documentaries 

      Demirtas, K.; Cicekli, N. K.; Cicekli, I. (Sage Publications Ltd., 2010)
      In this paper, we propose automatic categorization and summarization of documentaries using subtitles of videos. We propose two methods for video categorization. The first makes unsupervised categorization by applying ...
    • Design and evaluation of an ontology based information extraction system for radiological reports 

      Soysal, E.; Cicekli, I.; Baykal, N. (Pergamon Press, 2010)
      This paper describes an information extraction system that extracts and converts the available information in free text Turkish radiology reports into a structured information model using manually created extraction rules ...
    • Elicitation and use of relevance feedback information 

      Vechtomova, O.; Karamuftuoglu, M. (Elsevier Ltd, 2006-01)
      The paper presents two approaches to interactively refining user search formulations and their evaluation in the new High Accuracy Retrieval from Documents (HARD) track of TREC-12. The first method consists of asking the ...
    • Generic text summarization for Turkish 

      Kutlu, M.; Cığır, C.; Cicekli, I. (Oxford University Press, 2010)
      In this paper, we propose a generic text summarization method that generates summaries of Turkish texts by ranking sentences according to their scores. Sentence scores are calculated using their surface-level features, and ...
    • A lexical-functional grammar for Turkish 

      Güngördü, Zelal (Bilkent University, 1993)
      Natural language processing is a research area which is becoming increasingly popular each day for both academic and commercial reasons. Syntactic parsing underlies most of the applications in natural language processing. ...
    • Measuring cross-lingual semantic similarity across European languages 

      Şenel, Lütfü Kerem; Yücesoy, V.; Koç, A.; Çukur, Tolga (IEEE, 2017)
      This paper studies cross-lingual semantic similarity (CLSS) between five European languages (i.e. English, French, German, Spanish and Italian) via unsupervised word embeddings from a cross-lingual lexicon. The vocabulary ...
    • A natural language-based interface for querying a video database 

      Küçüktunç, O.; Güdükbay, U.; Ulusoy, Ö. (Institute of Electrical and Electronics Engineers, 2007-01)
      The authors developed a video database system called BilVideo that provides integrated support for spatiotemporal, semantic, and low-level feature queries. As a further development for this system, the authors present a ...
    • Online text classification for real life tweet analysis 

      Yar, Ersin; Delibalta, İ.; Baruh, L.; Kozat, Süleyman Serdar (IEEE, 2016)
      In this paper, we study multi-class classification of tweets, where we introduce highly efficient dimensionality reduction techniques suitable for online processing of high dimensional feature vectors generated from ...
    • Prefix-suffix based statistical language models of Turkish 

      Topkara, Umut (Bilkent University, 2001-07)
    • Semantic similarity between Turkish and European languages using word embeddings 

      Şenel, Lütfü Kerem; Yücesoy, V.; Koç, A.; Çukur, Tolga (IEEE, 2017)
      Representation of words coming from vocabulary of a language as real vectors in a high dimensional space is called as word embeddings. Word embeddings are proven to be successful in modelling semantic relations between ...
    • Two learning approaches for protein name extraction 

      Tatar, S.; Cicekli, I. (Academic Press, 2009)
      Protein name extraction, one of the basic tasks in automatic extraction of information from biological texts, remains challenging. In this paper, we explore the use of two different machine learning techniques and present ...
    • Using lexical chains for keyword extraction 

      Ercan, G.; Cicekli, I. (Elsevier Ltd, 2007-11)
      Keywords can be considered as condensed versions of documents and short forms of their summaries. In this paper, the problem of automatic extraction of keywords from documents is treated as a supervised learning task. A ...