Are social (occupational) classes coherent, distinct entities? While they reflect an underlying reality, they are more fragmented than theory suggests. It is hypothesised that skill mismatches mean that each class includes a substantial proportion of poorly paid people who could be in the class below and highly paid people who could be in the class above, or in a class alone. This is tested for...

We propose an event-enriched model to alleviate the semantic deficiency problem in the IR-style text processing and apply it to sentence ordering for multi-document news summarization. The ordering algorithm is built on event and entity coherence, both locally and globally. To accommodate the eventenriched model, a novel LSA-integrated two-layered clustering approach is adopted. The experimenta...

Quiz or tests about reasoning capabilities often pertain to the perception of similarity and dissimilarity between situations. Thus, one may be asked to complete a series of entities A, B, C by an appropriate X, or to pick the one that does not fit in a list. It has been shown that the first problem can receive a solution by solving analogical proportion equations between the representations of...

Introduction In a university, research assessments are organized at different policy levels (faculties, research council) in different contexts (funding, council membership, personnel evaluations). Each evaluation requires its own focus and methodology. To conduct a coherent research policy however, data on which different assessments are based should be well coordinated. A common set of core i...

In this paper, face detection problem is considered using the concepts of compressive sensing technique. This technique includes dictionary learning procedure and sparse coding method to represent the structural content of input images. In the proposed method, dictionaries are learned in such a way that the trained models have the least degree of coherence to each other. The novelty of the prop...

Biomedical entity linking is an important research problem for many downstream tasks, such as biomedical intelligent question answering, information retrieval, and extraction. the task of mapping mentions in medical texts to standard entities a given knowledge base. Recently, BERT-based models have achieved state-of-the-art results on task. Although this type method effective, it brings challen...

Entity and relation linking are the core tasks in knowledge base question answering (KBQA). They connect natural language questions with triples base. In most studies, researchers perform these two independently, which ignores interplay between entity linking. To address above problems, some have proposed a framework for joint based on feature multi-attention. this paper, their method, we offer...

Acute Macular Neuro-retinopathy (AMN) is a rare clinical entity. We present case of 26 years old male who presented with one-week history sudden onset decrease vision in left eye associated paracentral scotomas. Dilated fundus examination the showed multiple reddish brownish petalloid para-foveal lesions apex pointing toward fovea. OCT hyper-reflective bands Outer Nuclear Layer and Plexiform al...