Listar GI-LYS - Artigos por título
Mostrando ítems 37-43 de 43
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The Impact of Edge Displacement Vaserstein Distance on UD Parsing Performance
(The MIT Press, 2022)[Abstract] We contribute to the discussion on parsing performance in NLP by introducing a measurement that evaluates the differences between the distributions of edge displacement (the directed distance of edges) seen in ... -
The megaphone of the people? Spanish SentiStrength for real-time analysis of political tweets
(SAGE Publications & CILIP, 2015)[Abstract]: Twitter is an important platform for sharing opinions about politicians, parties and political decisions. These opinions can be exploited as a source of information to monitor the impact of politics on society. ... -
The scaling of the minimum sum of edge lengths in uniformly random trees
(2016-06)[Abstract] The minimum linear arrangement problem on a network consists of finding the minimum sum of edge lengths that can be achieved when the vertices are arranged linearly. Although there are algorithms to solve this ... -
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 ... -
Transition-based semantic role labeling with pointer networks
(Elsevier, 2023-01-25)[Abstract] Semantic role labeling (SRL) focuses on recognizing the predicate–argument structure of a sentence and plays a critical role in many natural language processing tasks such as machine translation and question ... -
Uma Utilidade para o Reconhecimento de Topónimos em Documentos Medievais
(Universidade do Minho, 2019)[Resumo] Este artigo apresenta o método de construçao duma ferramenta para a anotaçao de entidades geográficas mencionadas em textos medievais. A nova ferramenta foi desenvolvida a partir dos módulos de língua contemporanea ... -
Universal, unsupervised (rule-based), uncovered sentiment analysis
(Elsevier, 2017-02)[Abstract]: We present a novel unsupervised approach for multilingual sentiment analysis driven by compositional syntax-based rules. On the one hand, we exploit some of the main advantages of unsupervised algorithms: (1) ...
