Buscar
Mostrando ítems 1-5 de 5
Absolute convergence and error thresholds in non-active adaptive sampling
(Elsevier Inc., 2022-05)
[Abstract] Non-active adaptive sampling is a way of building machine learning models from a training data base which are supposed to dynamically and automatically derive guaranteed sample size. In this context and regardless ...
Towards Robust Word Embeddings for Noisy Texts
(MDPI, 2020)
[Abstract] Research on word embeddings has mainly focused on improving their performance on standard corpora, disregarding the difficulties posed by noisy texts in the form of tweets and other types of non-standard writing ...
Developing Open-Source Roguelike Games for Visually-Impaired Players by Using Low-Complexity NLP Techniques
(MDPI, 2020-08-19)
[Abstract] The prominent graphic component of video games greatly limits the accessibility of thistype of entertainment by visually impaired users. We make here an overview of the first gamesdeveloped within an initiative ...
Sentiment Analysis for Fake News Detection
(MDPI, 2021)
[Abstract] In recent years, we have witnessed a rise in fake news, i.e., provably false pieces of information created with the intention of deception. The dissemination of this type of news poses a serious threat to cohesion ...
On the Use of Parsing for Named Entity Recognition
(MDPI, 2021-01-25)
[Abstract] Parsing is a core natural language processing technique that can be used to obtain the structure underlying sentences in human languages. Named entity recognition (NER) is the task of identifying the entities ...