With the advent of very-high-resolution remote sensing images, semantic change detection (SCD) based on deep learning has become a research hotspot in recent years. SCD aims to observe Earth’s land surface and plays vital role monitoring ecological environment, use cover. Existing mainly focus single-task detection; problem they face is that existing methods are incapable identifying which type...

This study attempted to determine the types of semantic change of the selected Cebuano words from the written texts, specifically the Bisaya magazine and spoken language of Cebuano speakers aged 15 – 40 years old living in Cebu province. Twenty (20) Cebuano words were analyzed using Campbell’s (1998) and Crowley’s (1997) classifications of the semantic change. The results revealed that metaphor...

The Semantic Web is not only evolving into a provider of structured meaningful content and knowledge representation, but also into a provider of services. While most of these services support external users of the SW, we focus on a vital service within the SW – change management and adaptation. Change is a ubiquitous feature of the SW. In this paper, we propose a service architecture that embra...

test the hypothesis that words which are similar in meaning occur in similar contexts, this being a corollary of the initial hypothesis that the meaning of a word is defined by the collocational company which it keeps. This similarity is measured by creating 'collocational profiles'-summaries of the words typically occurring in the context of a given word-for each unique word form (type) in a l...

Change detection is a main issue in various domains, and especially for remote sensing purposes. Indeed, plethora of geospatial images are available and can be used to update geographical databases. In this paper, we propose a classification-based method to detect changes between a database and a more recent image. It is based both on an efficient training point selection and a hierarchical dec...

This paper presents a new approach to detecting and tracking changes in word meaning by visually modeling and representing diachronic development in word contexts. Previous studies have shown that computational models are capable of clustering and disambiguating senses, a more recent trend investigates whether changes in word meaning can be tracked by automatic methods. The aim of our study is ...

We analyze semantic changes in loanwords from English that are used in Japanese (Japanese loanwords). Specifically, we create word embeddings of English and Japanese and map the Japanese embeddings into the English space so that we can calculate the similarity of each Japanese word and each English word. We then attempt to find loanwords that are semantically different from their original, see ...

this paper examines the semantic contribution of -?r and -andeh suffixes in persian based on lieber’s (2004) lexical semantic representation. this framework using six semantic features ([material], [dynamic], [location], [ieps] , [b] and [ci] and a principle called coordination principle studies the semantic contribution of lexical items including affixes and their functions in compounding, der...

Up to this point, research on written scholarly communication has focused primarily on syntactic, rather than semantic, analyses. Consequently, we have yet to understand semantic change as it applies to disciplinary discourse. The objective of this study is to illustrate word semantic change in biomedical literature. To that end, we identify a set of representative words in biomedical literatur...