J
Jesús Vilares
Researcher at University of A Coruña
Publications - 67
Citations - 480
Jesús Vilares is an academic researcher from University of A Coruña. The author has contributed to research in topics: Parsing & Rule-based machine translation. The author has an hindex of 11, co-authored 67 publications receiving 400 citations. Previous affiliations of Jesús Vilares include University of Vigo.
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Journal ArticleDOI
Sentiment Analysis for Fake News Detection
TL;DR: This article study the different uses of sentiment analysis in the detection of fake news, with a discussion of the most relevant elements and shortcomings, and the requirements that should be met in the near future, such as multilingualism, explainability, mitigation of biases, or treatment of multimedia elements.
Journal ArticleDOI
Current research issues and trends in non-English Web searching
TL;DR: This review paper is to make researchers aware of the existing problems in monolingual non-English Web retrieval by providing an overview of open issues and identifying the research questions and solutions proposed in these papers.
Proceedings ArticleDOI
Tokenization and proper noun recognition for information retrieval
TL;DR: A set of natural language processing techniques that can be used to analyze large amounts of texts are considered, focusing on the advanced tokenizer which accounts for a number of complex linguistic phenomena, as well as for pre-tagging tasks such as proper noun recognition.
Book ChapterDOI
Applying Productive Derivational Morphology to Term Indexing of Spanish Texts
TL;DR: A system for automatic generation of morphological families by means of Productive Derivational Morphology is discussed, which uses a minimum of linguistic resources, a low computational cost, and the independence with respect to the indexing engine.
Journal ArticleDOI
Managing misspelled queries in IR applications
TL;DR: A comparative analysis of the efficacy of two possible strategies based on the use of character n-grams as the basic indexing unit, which guarantees the robustness of the information retrieval process whilst at the same time eliminating the need for a specific query correction stage.