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Anton Ivaschenko, Arkadiy Krivosheev, Anastasia Stolbova and Oleg Golovnin
Document workflow systems and enterprise content management systems that implement intelligent technologies for text understanding.
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Riku Iikura, Makoto Okada and Naoki Mori
The understanding of narrative stories by computer is an important task for their automatic generation. To date, high-performance neural-network technologies such as BERT have been applied to tasks such as the Story Cloze Test and Story Completion. In th...
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Daniela Pacella and Davide Marocco
Negotiation constitutes a fundamental skill that applies to several daily life contexts; however, providing a reliable assessment and definition of it is still an open challenge. The aim of this research is to present an in-depth analysis of the negotiat...
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Andra Nicoleta ILIESCU
Pág. 379 - 392
This research paper aims to contribute to the advancement of the knowmad concept understanding in the academic literature. The relevance of the knowmad worker is sustained by their skills and competencies aligned with the pre-announced requirements for c...
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Andra Nicoleta ILIESCU
Pág. 379 - 392
This research paper aims to contribute to the advancement of the knowmad concept understanding in the academic literature. The relevance of the knowmad worker is sustained by their skills and competencies aligned with the pre-announced requirements for c...
ver más
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Huajie Wang and Yinglin Wang
The natural language model BERT uses a large-scale unsupervised corpus to accumulate rich linguistic knowledge during its pretraining stage, and then, the information is fine-tuned for specific downstream tasks, which greatly improves the understanding c...
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Sheetal Kusal, Shruti Patil, Ketan Kotecha, Rajanikanth Aluvalu and Vijayakumar Varadarajan
Online Social Media (OSM) like Facebook and Twitter has emerged as a powerful tool to express via text people?s opinions and feelings about the current surrounding events. Understanding the emotions at the fine-grained level of these expressed thoughts i...
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David Eduardo Morocho Jaramillo, Camilla Mileto and Fernando Vegas López-Manzanares
This article explores the ties between vernacular architecture, culture and identity in a context of sociocultural change in the Ecuadorian Amazon. The text addresses the loss of a collective cultural identity from a historical, socio-spatial and descrip...
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Yana Agafonova, Alexey Tikhonov and Ivan P. Yamshchikov
This paper revisits the receptive theory in the context of computational creativity. It presents a case study of a Paranoid Transformer?a fully autonomous text generation engine with raw output that could be read as the narrative of a mad digital persona...
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Alice Wang, Rozita Dara, Samira Yousefinaghani, Emily Maier and Shayan Sharif
Infectious diseases take a large toll on the global population, not only through risks of illness but also through economic burdens and lifestyle changes. With both emerging and re-emerging infectious diseases increasing in number, mitigating the consequ...
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Yun Li, Yongyao Jiang, Justin C. Goldstein, Lewis J. Mcgibbney and Chaowei Yang
One longstanding complication with Earth data discovery involves understanding a user?s search intent from the input query. Most of the geospatial data portals use keyword-based match to search data. Little attention has focused on the spatial and tempor...
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Rachel O?Donnell, Kathryn Angus, Peter McCulloch, Amanda Amos, Lorraine Greaves and Sean Semple
Enabling parents to create a smoke-free home is one of the key ways that children?s exposure to second-hand smoke (SHS) can be reduced. Smoke-free home interventions have largely targeted mothers who smoke, and there is little understanding of the barrie...
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Luis M. de Campos, Juan M. Fernández-Luna, Juan F. Huete, Francisco J. Ribadas-Pena and Néstor Bolaños
In the context of academic expert finding, this paper investigates and compares the performance of information retrieval (IR) and machine learning (ML) methods, including deep learning, to approach the problem of identifying academic figures who are expe...
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Philipp Gabler, Bernhard C. Geiger, Barbara Schuppler and Roman Kern
Superficially, read and spontaneous speech?the two main kinds of training data for automatic speech recognition?appear as complementary, but are equal: pairs of texts and acoustic signals. Yet, spontaneous speech is typically harder for recognition. This...
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Iza Sazanita Isa, Umi Kalsom Yusof and Murizah Mohd Zain
The development of intelligence-based methods and application systems has expanded for the use of quality blastocyst selection in in vitro fertilization (IVF). Significant models on assisted reproductive technology (ART) have been discovered, including o...
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Carlos E. Mendoza-Ramírez, Juan C. Tudon-Martinez, Luis C. Félix-Herrán, Jorge de J. Lozoya-Santos and Adriana Vargas-Martínez
An Augmented Reality (AR) system is a technology that overlays digital information, such as images, sounds, or text, onto a user?s view of the real world, providing an enriched and interactive experience of the surrounding environment. It has evolved int...
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Yuanyuan Li, Yuan Huang, Weijian Huang, Junhao Yu and Zheng Huang
An abstractive summarization model based on the joint-attention mechanism and a priori knowledge is proposed to address the problems of the inadequate semantic understanding of text and summaries that do not conform to human language habits in abstractiv...
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Jawaher Alghamdi, Yuqing Lin and Suhuai Luo
The prevalence of fake news on social media has led to major sociopolitical issues. Thus, the need for automated fake news detection is more important than ever. In this work, we investigated the interplay between news content and users? posting behavior...
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Saeede Anbaee Farimani, Majid Vafaei Jahan and Amin Milani Fard
News dissemination in social media causes fluctuations in financial markets. (Scope) Recent advanced methods in deep learning-based natural language processing have shown promising results in financial market analysis. However, understanding how to lever...
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Muhammad Atif and Valentina Franzoni
Users of web or chat social networks typically use emojis (e.g., smilies, memes, hearts) to convey in their textual interactions the emotions underlying the context of the communication, aiming for better interpretability, especially for short polysemous...
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