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Fenfang Li, Zhengzhang Zhao, Li Wang and Han Deng
Sentence Boundary Disambiguation (SBD) is crucial for building datasets for tasks such as machine translation, syntactic analysis, and semantic analysis. Currently, most automatic sentence segmentation in Tibetan adopts the methods of rule-based and stat...
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Kyungho Yu, Hyoungju Kim, Jeongin Kim, Chanjun Chun and Pankoo Kim
Text-to-image technology enables computers to create images from text by simulating the human process of forming mental images. GAN-based text-to-image technology involves extracting features from input text; subsequently, they are combined with noise an...
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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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Jeffery T. H. Kong, Filbert H. Juwono, Ik Ying Ngu, I. Gde Dharma Nugraha, Yan Maraden and W. K. Wong
Social media has evolved into a platform for the dissemination of information, including fake news. There is a lot of false information about the current situation of the Coronavirus Disease 2019 (COVID-19) pandemic, such as false information regarding v...
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Roberta Rodrigues de Lima, Anita M. R. Fernandes, James Roberto Bombasar, Bruno Alves da Silva, Paul Crocker and Valderi Reis Quietinho Leithardt
Classification problems are common activities in many different domains and supervised learning algorithms have shown great promise in these areas. The classification of goods in international trade in Brazil represents a real challenge due to the comple...
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Valery Solovyev and Vladimir Ivanov
In a great deal of theoretical and applied cognitive and neurophysiological research, it is essential to have more vocabularies with concreteness/abstractness ratings. Since creating such dictionaries by interviewing informants is labor-intensive, consid...
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Dragos Constantin Nicolae, Rohan Kumar Yadav and Dan Tufis
Large-scale pre-trained language representation and its promising performance in various downstream applications have become an area of interest in the field of natural language processing (NLP). There has been huge interest in further increasing the mod...
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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....
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Abdullah M. Alshanqiti, Sami Albouq, Ahmad B. Alkhodre, Abdallah Namoun and Emad Nabil
Long unpunctuated texts containing complex linguistic sentences are a stumbling block to processing any low-resource languages. Thus, approaches that attempt to segment lengthy texts with no proper punctuation into simple candidate sentences are a vitall...
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Yuna Hur, Suhyune Son, Midan Shim, Jungwoo Lim and Heuiseok Lim
Relation Extraction (RE) aims to predict the correct relation between two entities from the given sentence. To obtain the proper relation in Relation Extraction (RE), it is significant to comprehend the precise meaning of the two entities as well as the ...
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