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Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processingExpand
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  • Open Access
Automatic Description Generation from Images: A Survey of Models, Datasets, and Evaluation Measures (Extended Abstract)
Automatic description generation from natural images is a challenging problem that has recently received a large amount of interest from the computer vision and natural language processingExpand
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  • Open Access
Automatic Induction of a CCG Grammar for Turkish
This paper presents the results of automatically inducing a Combinatory Categorial Grammar (CCG) lexicon from a Turkish dependency treebank. The fact that Turkish is an agglutinating free wordorderExpand
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  • Open Access
Annotating Subordinators in the Turkish Discourse Bank
In this paper we explain how we annotated subordinators in the Turkish Discourse Bank (TDB), an effort that started in 2007 and is still continuing. We introduce the project and describe some of theExpand
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  • Open Access
A Distributed Representation Based Query Expansion Approach for Image Captioning
In this paper, we propose a novel query expansion approach for improving transferbased automatic image captioning. The core idea of our method is to translate the given visual query into aExpand
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  • Open Access
Multi-lingual Dependency Parsing with Incremental Integer Linear Programming
Our approach to dependency parsing is based on the linear model of McDonald et al.(McDonald et al., 2005b). Instead of solving the linear model using the Maximum Spanning Tree algorithm we propose anExpand
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  • Open Access
TasvirEt: A benchmark dataset for automatic Turkish description generation from images
Automatically describing images with natural sentences is considered to be a challenging research problem that has recently been explored. Although the number of methods proposed to solve thisExpand
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  • Open Access
Noisy Uyghur Text Normalization
Uyghur is the second largest and most actively used social media language in China. However, a non-negligible part of Uyghur text appearing in social media is unsystematically written with the LatinExpand
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  • Open Access
Categorization of Turkish News Documents with Morphological Analysis
Morphologically rich languages such as Turkish may benefit from morphological analysis in natural language tasks. In this study, we examine the effects of morphological analysis on textExpand
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  • Open Access
Data-driven image captioning via salient region discovery
In the past few years, automatically generating descriptions for images has attracted a lot of attention in computer vision and natural language processing research. Among the existing approaches,Expand
  • 8
  • Open Access