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Qishun Mei and Xuhui Li
To address the limitations of existing methods of short-text entity disambiguation, specifically in terms of their insufficient feature extraction and reliance on massive training samples, we propose an entity disambiguation model called COLBERT, which f...
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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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Yang Zhang, Jin Liu, Bo Huang and Bei Chen
Entity linking plays a fundamental role in knowledge engineering and data mining and is the basis of various downstream applications such as content analysis, relationship extraction, question and answer. Most existing entity linking models rely on suffi...
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Christos Makris and Michael Angelos Simos
Semantic representation of unstructured text is crucial in modern artificial intelligence and information retrieval applications. The semantic information extraction process from an unstructured text fragment to a corresponding representation from a conc...
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Christos Makris, Georgios Pispirigos and Michael Angelos Simos
Text annotation is the process of identifying the sense of a textual segment within a given context to a corresponding entity on a concept ontology. As the bag of words paradigm?s limitations become increasingly discernible in modern applications, severa...
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A. Yu. Zinoveva
Pág. 64 - 72
Today?s natural language processing research frequently addresses the issue of content semantization (including the semantization of unstructured texts such as electronic news) by means of semantic annotation or its special case, ontology-based and domai...
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Attaporn Wangpoonsarp, Kazuya Shimura and Fumiyo Fukumoto
This paper focuses on the domain-specific senses of words and proposes a method for detecting predominant sense depending on each domain. Our Domain-Specific Senses (DSS) model is an unsupervised manner and detects predominant senses in each domain. We a...
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Thanassis Mavropoulos, Georgios Meditskos, Spyridon Symeonidis, Eleni Kamateri, Maria Rousi, Dimitris Tzimikas, Lefteris Papageorgiou, Christos Eleftheriadis, George Adamopoulos, Stefanos Vrochidis and Ioannis Kompatsiaris
Conversational agents are reshaping our communication environment and have the potential to inform and persuade in new and effective ways. In this paper, we present the underlying technologies and the theoretical background behind a health-care platform ...
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Bagus Setya Rintyarna, Riyanarto Sarno and Chastine Fatichah
The growth of ecommerce has triggered online reviews as a rich source of product information. Revealing consumer sentiment from the reviews through Sentiment Analysis (SA) is an important task of online product review analysis. Two popular approaches of ...
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Yulia Davydova
Pág. 11 - 18
Online social networks (OSN) are actively used for implementation of illegal and destructive activities including propaganda of drugs, suicide, terrorism. There is the task of detecting such materials for providing information-psychological security of a...
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