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Davide Chiarella
The underwater environment is a harmful environment, yet one of the richest and least exploited. For these reasons the idea of a robotic companion with the task of supporting and monitoring divers during their activities and operations has been proposed....
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Rafal Jaworski, Sanja Seljan and Ivan Dunder
Parallel corpora have been widely used in the fields of natural language processing and translation as they provide crucial multilingual information. They are used to train machine translation systems, compile dictionaries, or generate inter-language wor...
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Andrey Bogdanchikov, Dauren Ayazbayev and Iraklis Varlamis
The rapid development of natural language processing and deep learning techniques has boosted the performance of related algorithms in several linguistic and text mining tasks. Consequently, applications such as opinion mining, fake news detection or doc...
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Jakobus S. du Toit and Martin J. Puttkammer
The creation of linguistic resources is crucial to the continued growth of research and development efforts in the field of natural language processing, especially for resource-scarce languages. In this paper, we describe the curation and annotation of c...
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Henrique Lopes-Cardoso, Tomás Freitas Osório, Luís Vilar Barbosa, Gil Rocha, Luís Paulo Reis, João Pedro Machado and Ana Maria Oliveira
The Natural Language Processing (NLP) community has witnessed huge improvements in the last years. However, most achievements are evaluated on benchmarked curated corpora, with little attention devoted to user-generated content and less-resourced languag...
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Ismael Garrido-Muñoz , Arturo Montejo-Ráez , Fernando Martínez-Santiago and L. Alfonso Ureña-López
Deep neural networks are hegemonic approaches to many machine learning areas, including natural language processing (NLP). Thanks to the availability of large corpora collections and the capability of deep architectures to shape internal language mechani...
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Georgios Alexandridis, Iraklis Varlamis, Konstantinos Korovesis, George Caridakis and Panagiotis Tsantilas
As the amount of content that is created on social media is constantly increasing, more and more opinions and sentiments are expressed by people in various subjects. In this respect, sentiment analysis and opinion mining techniques can be valuable for th...
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André Ferreira Cruz, Gil Rocha and Henrique Lopes Cardoso
The task of coreference resolution has attracted considerable attention in the literature due to its importance in deep language understanding and its potential as a subtask in a variety of complex natural language processing problems. In this study, we ...
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A. A. Antipenko,O. A. Mitrofanova
Pág. 27 - 33
The paper discusses results of the experiment on automatic extraction of associative relations from corpora of Russian texts from Facebook and Pikabu social networks by means of distributional semantic models. The choice of linguistic data for analysis, ...
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Sardar Parhat, Mijit Ablimit and Askar Hamdulla
In this paper, based on the multilingual morphological analyzer, we researched the similar low-resource languages, Uyghur and Kazakh, short text classification. Generally, the online linguistic resources of these languages are noisy. So a preprocessing i...
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