A5070855314- Comparative Literary Analysis and Criticism
- Spanish Literature and Culture Studies
- Data Quality and Management
- Libraries, Manuscripts, and Books
- Early Modern Spanish Literature
- Galician and Iberian cultural studies
- Web Data Mining and Analysis
- Cultural and Mythological Studies
- Natural Language Processing Techniques
- Medieval Iberian Studies
- Spanish History and Politics
- Data Management and Algorithms
- Social Sciences and Policies
- Topic Modeling
- Spanish Culture and Identity
- Historical Art and Architecture Studies
- Text and Document Classification Technologies
- History and Politics in Latin America
- Philosophical and Cultural Analysis
- Head and Neck Anomalies
- Archaeology and Rock Art Studies
- Advanced Clustering Algorithms Research
- Medical research and treatments
- Literature, Culture, and Aesthetics
- Medieval European Literature and History
National University of Distance Education
2014-2023
Universidad Complutense de Madrid
2011-2022
Yangon University Of Distance Education
2014
Universidad Rey Juan Carlos
2014
University of Matanzas
1990
University of Sancti Spíritus José Martí Pérez
1987
Several natural language processing (NLP) tasks are defined as a classification problem in its most complex form: Multi-label Hierarchical Extreme classification, which items may be associated with multiple classes from set of thousands possible organized hierarchy and highly unbalanced distribution both terms class frequency the number labels per item. We analyze state art evaluation metrics based on formal properties we define an information theoretic metric inspired by Information...
In this article, we present a new clustering algorithm for Person Name Disambiguation in web search results. The groups results according to the individuals they refer to. best state‐of‐the‐art approaches require training data order learn thresholds deciding when group webpages. However, ambiguity level of person names on could not be previously estimated and those methods strongly depend obtained with collections. We concept adaptive threshold, which avoids need previous supervised learning...
In this article, we present a new algorithm for clustering bilingual collection of comparable news items in groups specific topics. Our hypothesis is that named entities ( NE s) are more informative than other features the when fine grained The does not need as input any information related to number clusters, and carries out only based on regarding shared items. This proposal evaluated using different data sets outperforms state‐of‐the‐art algorithms, thereby proving plausibility approach....
Person name disambiguation on the Web (PNDW) consists of grouping pages retrieved by a search engine when person’s is queried according to individuals they refer to. This problem interest research community because Internet users often for information about people engines, and also people’s names are very ambiguous type named entity. In addition, domain presents several challenges natural language processing retrieval methods. this paper, we classify PNDW systems their main characteristics:...