Browsing by Author "Can, Fazlı"

Now showing items 21-39 of 39

    • A new approach to search result clustering and labeling 

      Türel, Anıl; Can, Fazlı (Springer, Berlin, Heidelberg, 2011)
      Search engines present query results as a long ordered list of web snippets divided into several pages. Post-processing of retrieval results for easier access of desired information is an important research problem. In ...

    • A novel online stacked ensemble for multi-label stream classification 

      Büyükçakır, Alican; Bonab, H.; Can, Fazlı (ACM, 2018)
      As data streams become more prevalent, the necessity for online algorithms that mine this transient and dynamic data becomes clearer. Multi-label data stream classification is a supervised learning problem where each ...

    • Quantitative analysis of spoken discourse using memoirs of old-time moviegoers 

      Çalışkan, Sevil; Can, Fazlı; Akbulut, H.; Öztürk, S. R. (Routledge, 2021-02-24)
      We present the first quantitative analysis of spoken discourse for the Turkish language using memoirs of a group of old-time moviegoers of varying age groups whose birth year spreads over a period of four decades ranging ...

    • Redif extraction in handwritten Ottoman literary texts 

      Can, Ethem F.; Duygulu, Pınar; Can, Fazlı; Kalpaklı, Mehmet (IEEE, 2010)
      Repeated patterns, rhymes and redifs, are among the fundamental building blocks of Ottoman Divan poetry. They provide integrity of a poem by connecting its parts and bring a melody to its voice. In Ottoman literature, poets ...

    • Semantic argument frequency-based multi-document summarization 

      Aksoy, Cem; Buğdaycı, Ahmet; Gür, Tunay; Uysal, İbrahim; Can, Fazlı (IEEE, 2009-09)
      Semantic Role Labeling (SRL) aims to identify the constituents of a sentence, together with their roles with respect to the sentence predicates. In this paper, we introduce and assess the idea of using SRL on generic ...

    • Site-based dynamic pruning for query processing in search engines 

      Altıngövde İsmail Şengör; Demir, Engin; Can, Fazlı; Ulusoy, Özgür (ACM, 2008-07)
      Web search engines typically index and retrieve at the page level. In this study, we investigate a dynamic pruning strategy that allows the query processor to first determine the most promising websites and then proceed ...

    • Squeezing the ensemble pruning: Faster and more accurate categorization for news portals 

      Toraman, Cağrı; Can, Fazlı (Springer, 2012)
      Recent studies show that ensemble pruning works as effective as traditional ensemble of classifiers (EoC). In this study, we analyze how ensemble pruning can improve text categorization efficiency in time-critical real-life ...

    • 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 ...

    • Stance detection: concepts, approaches, resources, and outstanding issues 

      Küçük, Dilek; Can, Fazlı (Association for Computing Machinery, 2021-07-11)
      Stance detection (also known as stance classification and stance prediction) is a problem related to social media analysis, natural language processing, and information retrieval, which aims to de termine the position ...

    • 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 ...

    • Tag suggestr: Automatic photo tag expansion using visual information for photo sharing websites 

      Küçüktunç, Onur; Sevil, Sare G.; Tosun, A. Burak; Zitouni, Hilal; Duygulu, Pınar; Can, Fazlı (Springer, 2008-12)
      In this paper, we propose an automatic photo tag expansion system for the community photo collections, such as Flickr. Our aim is to suggest relevant tags for a target photograph uploaded to the system by a user, by ...

    • A theoretical framework on the ideal number of classifiers for online ensembles in data streams 

      Bonab, Hamed R.; Can, Fazlı (ACM, 2016-10)
      A priori determining the ideal number of component classifiers of an ensemble is an important problem. The volume and velocity of big data streams make this even more crucial in terms of prediction accuracies and resource ...

    • Topic tracking using chronological term ranking 

      Acun, Bilge; Başpınar, Alper; Oǧuz, Ekin; Saraç, M.İlker; Can, Fazlı (2013-10)
      Topic tracking (TT) is an important component of topic detection and tracking (TDT) applications. TT algorithms aim to determine all subsequent stories of a certain topic based on a small number of initial sample stories. ...

    • Translation relationship quantification: A cluster-based approach and its application to Shakespeare's sonnets 

      Can, Fazlı; Can, Ethem F.; Karbeyaz, Ceyhun (Springer, Dordrecht, 2010)
      We introduce a method for quantifying translation relation-ship between source and target texts.In this method, we partition source and target texts into corresponding blocks and cluster them separately using word phrases ...

    • Turkish information retrieval: past changes future 

      Can, Fazlı (Springer, 2006-10)
      One of the most exciting accomplishments of computer science in the lifetime of this generation is the World Wide Web. The Web is a global electronic publishing medium. Its size has been growing with an enormous speed for ...

    • A tutorial on stance detection 

      Küçük, Dilek; Can, Fazlı (Association for Computing Machinery, Inc, 2022)
      Stance detection (also known as stance classification, stance prediction, and stance analysis) is a problem related to social media analysis, natural language processing, and information retrieval, which aims to determine ...

    • Türkçe metinler üzerine yapılan sayısal üslup araştırmalarını inceleyen ve Benim Adım Kırmızı çevirilerinin aslına alan sadakatini ölçen bir çalışma 

      Çalışkan, Sevil; Can, Fazlı (Türk Kütüphaneciler Derneği, 2018)
      Bu makalede bilişimin beşerî bilimlerdeki önemli bir uygulaması olan sayısal üslup analizi yönteminin tanıtılması hedeflenmiş ve çevirilerin aslına sadakatini ölçen özgün bir araştırma sunulmuştur. Sayısal üslup analizi, ...

    • Unsupervised concept drift detection for multi-label data streams 

      Gülcan, Ege Berkay; Can, Fazlı (Springer, 2022-07-17)
      Many real-world applications adopt multi-label data streams as the need for algorithms to deal with rapidly changing data increases. Changes in data distribution, also known as concept drift, cause existing classification ...

    • Unsupervised concept drift detection with a discriminative classifier 

      Gözüaçık, Ömer; Büyükçakır, Alican; Bonab, H.; Can, Fazlı (Association for Computing Machinery, 2019)
      In data stream mining, one of the biggest challenges is to develop algorithms that deal with the changing data. As data evolve over time, static models become outdated. This phenomenon is called concept drift, and it is ...