As entity type systems become richer and more fine-grained, we expect the number of types assigned to a given entity to increase. However, most fine-grained typing work has focused on datasets that exhibit a low degree of type multiplicity. In this paper, we consider the high-multiplicity regime inherent in data sources such as Wikipedia that have semi-open type systems. We introduce a set-pred...

A deeper understanding of the mechanical behavior of ultra-fine (UF) and nanocrystalline (NC) grained metals is necessary with the growing interest in using UF and NC grained metals for structural applications. The cyclic deformation response and behavior of UF and NC grained metals is one aspect that has been gaining momentum as a major research topic for the past ten years. Severe Plastic Def...

Named Entity Recognition (NER) is a Natural Language Processing (NLP) task, which aims to extract useful information from unstructured textual data by detecting and classifying Named Entity (NE) phrases into predefined semantic classes. This thesis addresses the problem of fine-grained NER for Arabic, which poses unique linguistic challenges to NER; such as the absence of capitalisation and sho...

We present a new integrated environment for cellular computing and other fine grained applications. It is based upon previous developments concerning cellular computing environments (the ParCeL family) and coarse grained algorithms (the SSCRAP toolbox). It is aimed to be portable and efficient, and at the same time to offer a comfortable abstraction for the developer of fine grained programs. A...

For long, fine-grained version control for software documents has been neglected severely. Typically, software configuration management systems support the management of text or binary files. Unfortunately, text-based tools for fine-grained version control are not adequate for software documents produced in earlier phases in the software life cycle. Frequently, these documents have a graphical ...

Successful fine-grained image classification methods learn subtle details between visually similar (sub-)classes, but the problem becomes significantly more challenging if the details are missing due to low resolution. Encouraged by the recent success of Convolutional Neural Network (CNN) architectures in image classification, we propose a novel resolution-aware deep model which combines convol...

In this research, the effects of a sedimentary basin, environmental conditions, and the passage of time were investigated on consolidation processes and engineering characteristics of fine-grained soils in Kerman city. For this purpose, the natural consolidation curves of soil samples extracted from different locations of Kerman city were compared with the Kerman city intrinsic consolidation li...

We present a new integrated environment for cellular computing and other fine grained applications. It is based upon previous developments concerning cellular computing environments (the ParCeL family) and coarse grained algorithms (the SSCRAP toolbox). It is aimed to be portable and efficient, and at the same time to offer a comfortable abstraction for the developer of fine grained programs. A...

The mechanical properties of commercially pure titanium can further be improved through the grain refinement processes; however, welding fine-grained materials is challenging due to coarsening in weld area and hence weakening locally. Meanwhile, friction stir a promising process which metallurgical bonding established solid-state mixing welded; no studies have reported ultra-fine-grained commer...