Now showing items 1-4 of 4
Deep Neural Networks For Named Entity Recognition On Social Media
(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
(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' ...
Turkish Video Captioning with Msvd-Turkish Dataset
(Fen Bilimleri Enstitüsü, 2020)
The problem of video captioning can be defined as describing a video content by using natural language in a way that a person can identify the video by performing information extraction from the given videos. Video captioning ...
Towards Understandıng Intuıtıve Physıcs Wıth Language And Vısıon
(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 ...