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- Universidade de Santiago de CompostelaES166 papers
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- Universitat de BarcelonaES143 papers
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- University of GroningenNL142 papers
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7 papers · 2 filters
Towards Efficient and Explainable Hate Speech Detection via Model Distillation
Paloma Piot, Javier Parapar
Automatic detection of hate and abusive language is essential to combat its online spread. Moreover, recognising and explaining hate speech serves to educate people about its negat…
A Syntax-Injected Approach for Faster and More Accurate Sentiment Analysis
Muhammad Imran, Olga Kellert, Carlos Gómez-Rodríguez
Sentiment Analysis (SA) is a crucial aspect of Natural Language Processing (NLP), focusing on identifying and interpreting subjective assessments in textual content. Syntactic pars…
On the performance of phonetic algorithms in microtext normalization
Yerai Doval, Manuel Vilares, Jesús Vilares
User-generated content published on microblogging social networks constitutes a priceless source of information. However, microtexts usually deviate from the standard lexical and g…
Absolute convergence and error thresholds in non-active adaptive sampling
Manuel Vilares Ferro, Victor M. Darriba Bilbao, Jesús Vilares Ferro
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 siz…
Adaptive scheduling for adaptive sampling in POS taggers construction
Manuel Vilares Ferro, Victor M. Darriba Bilbao, Jesús Vilares Ferro
We introduce an adaptive scheduling for adaptive sampling as a novel way of machine learning in the construction of part-of-speech taggers. The goal is to speed up the training on…
Surfing the modeling of PoS taggers in low-resource scenarios
Manuel Vilares Ferro, Víctor M. Darriba Bilbao, Francisco J. Ribadas-Pena +1
The recent trend towards the application of deep structured techniques has revealed the limits of huge models in natural language processing. This has reawakened the interest in tr…