Now showing items 1-20 of 20

    • 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 ...
    • Dil yetmiyor 

      Eyüboğlu, İsmet Zeki (1981)
    • Dil yetmiyor 

      Eyüboğlu, İsmet Zeki (1985)
    • Diyalog tabanlı metinlerde konu değişimi tespiti 

      Şenel, Lütfi Kerem; Yücesoy, Veysel; Koҫ, A.; Çukur, Tolga (IEEE, 2019-04)
      Son dönemde katlanarak gelişen haberleşme yöntemleri (internet, sosyal medya, akıllı telefon, vb.) sayesinde veriye ulaşmak ve paylaşmak kolaylaşmıştır. Özellikle son yıllarda sözlü ve yazılı paylaşım mecraları hızlı gelişim ...
    • 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 ...
    • Generating semantic similarity atlas for natural languages 

      Şenel, Lütfi Kerem; Utlu, İhsan; Yücesoy, V.; Koç, A.; Çukur, Tolga (IEEE, 2018-12)
      Cross-lingual studies attract a growing interest in natural language processing (NLP) research, and several studies showed that similar languages are more advantageous to work with than fundamentally different languages ...
    • 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 ...
    • Natural language processing in law: Prediction of outcomes in the higher courts of Turkey 

      Mumcuoğlu, Emre; Öztürk, Ceyhun E.; Özaktaş, Haldun Memduh; Koç, Aykut (Elsevier Ltd, 2021-09)
      Natural language processing (NLP) based approaches have recently received attention for legal systems of several countries. It is of interest to study the wide variety of legal systems that have so far not received any ...
    • A natural language-based interface for querying a video database 

      Küçüktunç, O.; Güdükbay, U.; Ulusoy, Özgür (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 ...
    • Prediction of outcomes in higher courts of Turkey using natural language processing 

      Mumcuoğlu, Emre (Bilkent University, 2022-04)
      The use of Natural Language Processing (NLP) in the field of law has become a topic of interest in the recent years. Applications to Turkish law, however, have remained unexplored to this day. In this thesis, first, a ...
    • 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 ...
    • Stance detection: a survey 

      Küçük, D.; Can, Fazlı (Association for Computing Machinery, 2020)
      Automatic elicitation of semantic information from natural language texts is an important research problem with many practical application areas. Especially after the recent proliferation of online content through channels ...
    • Transqlate: translating enriched natural language sentences to SQL queries using transformers 

      Azari, Mousa Farshkar (Bilkent University, 2022-09)
      A large amount of the structured data owned by different enterprises is typically stored in Relational Database Management Systems, and a decent knowledge of Structured Language Query (SQL) is required to extract desired ...
    • 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 ...