|
|
|
|
|
Dominik Warch, Patrick Stellbauer and Pascal Neis
In the digital transformation era, video media libraries? untapped potential is immense, restricted primarily by their non-machine-readable nature and basic search functionalities limited to standard metadata. This study presents a novel multimodal metho...
ver más
|
|
|
|
|
|
|
|
|
|
|
Mohammed Saïd Kasttet, Abdelouahid Lyhyaoui, Douae Zbakh, Adil Aramja and Abderazzek Kachkari
Recently, artificial intelligence and data science have witnessed dramatic progress and rapid growth, especially Automatic Speech Recognition (ASR) technology based on Hidden Markov Models (HMMs) and Deep Neural Networks (DNNs). Consequently, new end-to-...
ver más
|
|
|
|
|
|
|
|
|
|
|
Martina Pticek and Jasminka Dob?a
Metaphors are an integral and important part of human communication and greatly impact the way our thinking is formed and how we understand the world. The theory of the conceptual metaphor has shifted the focus of research from words to thinking, and als...
ver más
|
|
|
|
|
|
|
|
|
|
|
Feng Li, Xuefeng Xi, Zhiming Cui, Dongyang Li and Wanting Zeng
Essays are a pivotal component of conventional exams; accurately, efficiently, and effectively grading them is a significant challenge for educators. Automated essay scoring (AES) is a complex task that utilizes computer technology to assist teachers in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marco Siino, Elisa Di Nuovo, Ilenia Tinnirello and Marco La Cascia
Guided by a corpus linguistics approach, in this article we present a comparative evaluation of State-of-the-Art (SotA) models, with a special focus on Transformers, to address the task of Fake News Spreaders (i.e., users that share Fake News) detection....
ver más
|
|
|
|
|
|
|
|
|
|
|
Ivan Mamaev,Olga Mitrofanova
Pág. 54 - 59
Social networks reflect contemporary tendencies in our society. These tendencies allow users to form communities that have both explicit and hidden links. The latter one is of current interest among scholars. Despite the effectiveness of modern algorithm...
ver más
|
|
|
|
|
|
|
|
|
|
|
Dahye Kim, YoungJin Kim and Young-Seob Jeong
We make daily comments on online platforms (e.g., social networks), and such natural language texts often contain sentiment (e.g., positive and negative) for certain aspects (e.g., food and service). If we can automatically extract the aspect-based senti...
ver más
|
|
|
|
|
|
|
|
|
|
|
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...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ahmed Al Marouf, Jon G. Rokne and Reda Alhajj
Detecting societal sentiment trends and emotion patterns is of great interest. Due to the time-varying nature of these patterns and trends this detection can be a challenging task. In this paper, the emotion patterns and trends are detected among social ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Andrés Barrios-Rubio and Gloria Consuelo Fajardo Valencia
Introduction: Convergence of linguistics and semiotics materializes in the text not only the conceptual content that is expressed through codes, but the message also underlies the realism of the communicative intentions of the issuing agent in a specific...
ver más
|
|
|
|
|
|