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Deep Neural Networks For Named Entity Recognition On Social Media 

Akkaya , Emre Kağan (Fen Bilimleri Enstitüsü, 2018)
Named entity recognition (NER) on noisy data, specifically user-generated content (e.g. on- line reviews, tweets) is a challenging task because of the presence of ill-formed text. In this regard, while studies on ...

An Rnn-Based Approach for Dıscoverıng Inconsıstencıes Between Permıssıons and Metadata In Androıd Applıcatıons 

Kabukçu, Muhammet (Fen Bilimleri Enstitüsü, 2019-09)
Since mobile devices are increasingly on hand today, users have become more heavily involved with their use in accessing the Internet. Today, most mobile devices use the Android operating system. On mobile devices, users' ...

Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon 

Ateş, Tayfun (Fen Bilimleri Enstitüsü, 2021)
Visual question answering (VQA) is one of the difficult tasks in multimodal machine reasoning. VQA requires machines to provide correct answers to questions about an image or a video. Here, the machine should perceive the ...
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AuthorAkkaya , Emre Kağan (1)Ateş, Tayfun (1)Kabukçu, Muhammet (1)Subject
Deep learning (3)
Natural language processing (3)
Recurrent neural networks (2)Android (1)Application descriptions (1)Bilgisayar mühendisliği (1)Causal and temporal reasoning (1)Cognitive science (1)Computer vision (1)Conditional random fields (1)... View MoreDate Issued2018 (1)2019 (1)2021 (1)Has File(s)Yes (3)

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