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Lin Liu, Hang Li, Dongmei Pei and Shuai Liu
The rapid development of Internet technology has formed a huge virtual information space. In the information space, information flow has become a link of communication between objects. Information flow is an alternative or supplement to the traditional p...
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Kirill Tyshchuk, Polina Karpikova, Andrew Spiridonov, Anastasiia Prutianova, Anton Razzhigaev and Alexander Panchenko
Embeddings, i.e., vector representations of objects, such as texts, images, or graphs, play a key role in deep learning methodologies nowadays. Prior research has shown the importance of analyzing the isotropy of textual embeddings for transformer-based ...
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Shurong Sheng, Katrien Laenen, Luc Van Gool and Marie-Francine Moens
In this paper, we target the tasks of fine-grained image?text alignment and cross-modal retrieval in the cultural heritage domain as follows: (1) given an image fragment of an artwork, we retrieve the noun phrases that describe it; (2) given a noun phras...
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Mohd Zafrullah Mohd Taib,Zulhabri Ismail,Shamsidar Ahmad,Tajuddin Rasdi
Pág. 36 - 43
Building of a mosque is a great achievement of the Muslim community. This research aims to introduce the idea of changing uses and meaning of the mosque in contemporary Muslim societies by evaluating the development and social behavior towards spaces in ...
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Liping Zhang, Jing Li and Song Li
Aiming at the problem that the existing spatial keyword group query problem did not consider the query requirements with exclusion keywords and time attributes, a time-aware group query problem with exclusion keywords (TEGSKQ) is proposed for the first t...
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Somaiyeh Dehghan and Mehmet Fatih Amasyali
BERT, the most popular deep learning language model, has yielded breakthrough results in various NLP tasks. However, the semantic representation space learned by BERT has the property of anisotropy. Therefore, BERT needs to be fine-tuned for certain down...
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Gianfranco Lombardo, Michele Tomaiuolo, Monica Mordonini, Gaia Codeluppi and Agostino Poggi
In the knowledge discovery field of the Big Data domain the analysis of geographic positioning and mobility information plays a key role. At the same time, in the Natural Language Processing (NLP) domain pre-trained models such as BERT and word embedding...
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Yousif A. Alhaj, Abdelghani Dahou, Mohammed A. A. Al-qaness, Laith Abualigah, Aaqif Afzaal Abbasi, Nasser Ahmed Obad Almaweri, Mohamed Abd Elaziz and Robertas Dama?evicius
We propose a novel text classification model, which aims to improve the performance of Arabic text classification using machine learning techniques. One of the effective solutions in Arabic text classification is to find the suitable feature selection me...
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Huy Manh Nguyen, Tomo Miyazaki, Yoshihiro Sugaya and Shinichiro Omachi
Visual-semantic embedding aims to learn a joint embedding space where related video and sentence instances are located close to each other. Most existing methods put instances in a single embedding space. However, they struggle to embed instances due to ...
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Ahmad Hawalah
Text classification is a process of classifying textual contents to a set of predefined classes and categories. As enormous numbers of documents and contextual contents are introduced every day on the Internet, it becomes essential to use text classifica...
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Emily Brooks
Pág. 161 - 186
Autism and romance occupy a space of discomfort in mainstream media conversation. Employing post-structuralist textual analysis, I explore themes arising from mainstream media representations of autism and dating, sexuality, and romance through eleven fe...
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Ephraim Vhutuza, Noreen Mucheke
Pág. 8 pages
The paper explores the role of the play titled She No Longer Weeps by Tsitsi Dangarembga in interrogating the prevailing status quo of, what the paper refers to as, the â??scenarios.â? In this paper, we focus on how the play facilitates and shapes social...
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Emily Brooks
Pág. 161 - 186
Autism and romance occupy a space of discomfort in mainstream media conversation. Employing post-structuralist textual analysis, I explore themes arising from mainstream media representations of autism and dating, sexuality, and romance through eleven fe...
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Kara Combs, Adam Moyer and Trevor J. Bihl
Recently, generative artificial intelligence (GAI) has impressed the world with its ability to create text, images, and videos. However, there are still areas in which GAI produces undesirable or unintended results due to being ?uncertain?. Before wider ...
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Shilpa Gite, Shruti Patil, Deepak Dharrao, Madhuri Yadav, Sneha Basak, Arundarasi Rajendran and Ketan Kotecha
Feature selection and feature extraction have always been of utmost importance owing to their capability to remove redundant and irrelevant features, reduce the vector space size, control the computational time, and improve performance for more accurate ...
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Anastasia Fedotova, Aleksandr Romanov, Anna Kurtukova and Alexander Shelupanov
Authorship attribution is one of the important fields of natural language processing (NLP). Its popularity is due to the relevance of implementing solutions for information security, as well as copyright protection, various linguistic studies, in particu...
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Nan Cui, Nick Malleson, Victoria Houlden and Alexis Comber
Volunteered Geographical Information (VGI) and social media can provide information about real-time perceptions, attitudes and behaviours in urban green space (UGS). This paper reviews the use of VGI and social media data in research examining UGS. The c...
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Soraya Masthura Hassan
Pág. 77 - 90
Geometry has shown that the architecture was an expression of man and a basic principle that were always presented on an architectural work. The research was conducted through two steps with the first step was to identified the Tadao Ando?s geometry desi...
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Ze Deng, Meng Wang, Lizhe Wang, Xiaohui Huang, Wei Han, Junde Chu and Albert Y. Zomaya
Current social-network-based and location-based-service applications need to handle continuous spatial approximate keyword queries over geo-textual streaming data of high density. The continuous query is a well-known expensive operation. The optimization...
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