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Melania Nitu and Mihai Dascalu
Machine-generated content reshapes the landscape of digital information; hence, ensuring the authenticity of texts within digital libraries has become a paramount concern. This work introduces a corpus of approximately 60 k Romanian documents, including ...
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Yaqin Zhu, Xuhang Li, Zijian Wang, Jiayong Li, Cairong Yan and Yanting Zhang
In recent years, joint entity?relation extraction (ERE) models have become a hot research topic in natural language processing (NLP). Several studies have proposed a span-based ERE framework, which utilizes simple span embeddings for entity and relation ...
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Michelle P. Banawan, Jinnie Shin, Tracy Arner, Renu Balyan, Walter L. Leite and Danielle S. McNamara
Academic discourse communities and learning circles are characterized by collaboration, sharing commonalities in terms of social interactions and language. The discourse of these communities is composed of jargon, common terminologies, and similarities i...
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Zhen Sun and Xinfu Li
Named entity recognition can deeply explore semantic features and enhance the ability of vector representation of text data. This paper proposes a named entity recognition method based on multi-head attention to aim at the problem of fuzzy lexical bounda...
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Barbara Brzic, Ivica Boticki and Marina Bagic Babac
Deception in computer-mediated communication represents a threat, and there is a growing need to develop efficient methods of detecting it. Machine learning models have, through natural language processing, proven to be extremely successful at detecting ...
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Mohammed Suleiman Mohammed Rudwan and Jean Vincent Fonou-Dombeu
Ontology alignment has become an important process for identifying similarities and differences between ontologies, to facilitate their integration and reuse. To this end, fuzzy string-matching algorithms have been developed for strings similarity detect...
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Damián Morales Sánchez, Antonio Moreno and María Dolores Jiménez López
Within the area of Natural Language Processing, we approached the Author Profiling task as a text classification problem. Based on the author?s writing style, sociodemographic information, such as the author?s gender, age, or native language can be predi...
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Tajana Ban Kirigin, Sanda Bujacic Babic and Benedikt Perak
We present a graph-based method for the lexical task of labeling senses of polysemous lexemes. The labeling task aims at generalizing sense features of a lexical item in a corpus using more abstract concepts. In this method, a coordination dependency-bas...
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Olga Novikova,Yuliya Kalugina,Albina Mustafina,Irina Edeleva
Pág. pp. 66 - 86
The present article is concerned with identifying the linguistic and extralinguistic features of Instagram, Twitter, and Live Journal hypertexts, depending on their functional focus. The relevance of the topic is due to the need for a more detailed study...
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Luana Balador Belisário, Luiz Gabriel Ferreira and Thiago Alexandre Salgueiro Pardo
Texts published on social media have been a valuable source of information for companies and users, as the analysis of this data helps improving/selecting products and services of interest. Due to the huge amount of data, techniques for automatically ana...
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