Search Results for author: Yoan Guti{\'e}rrez

Found 21 papers, 0 papers with code

Automatic Discovery of Heterogeneous Machine Learning Pipelines: An Application to Natural Language Processing

no code implementations COLING 2020 Suilan Estevez-Velarde, Yoan Guti{\'e}rrez, Andres Montoyo, Yudivi{\'a}n Almeida Cruz

The system is freely available and includes in-built compatibility with a large number of popular machine learning frameworks, which makes our approach useful for solving practical problems with relative ease and effort.

AutoML

A Neural Network Component for Knowledge-Based Semantic Representations of Text

no code implementations RANLP 2019 Alej Piad-Morffis, ro, Rafael Mu{\~n}oz, Yoan Guti{\'e}rrez, Yudivian Almeida-Cruz, Suilan Estevez-Velarde, Andr{\'e}s Montoyo

SNNs can be trained to encode explicit semantic knowledge from an arbitrary knowledge base, and can subsequently be combined with other deep learning architectures.

Opinion Mining

Demo Application for LETO: Learning Engine Through Ontologies

no code implementations RANLP 2019 Suilan Estevez-Velarde, Andr{\'e}s Montoyo, Yudivian Almeida-Cruz, Yoan Guti{\'e}rrez, Alej Piad-Morffis, ro, Rafael Mu{\~n}oz

The massive amount of multi-formatted information available on the Web necessitates the design of software systems that leverage this information to obtain knowledge that is valid and useful.

AutoML Strategy Based on Grammatical Evolution: A Case Study about Knowledge Discovery from Text

no code implementations ACL 2019 Suilan Estevez-Velarde, Yoan Guti{\'e}rrez, Andr{\'e}s Montoyo, Yudivi{\'a}n Almeida-Cruz

The process of extracting knowledge from natural language text poses a complex problem that requires both a combination of machine learning techniques and proper feature selection.

AutoML

Opinion Mining in Social Networks versus Electoral Polls

no code implementations RANLP 2017 Javi Fern{\'a}ndez, Fern Llopis, o, Yoan Guti{\'e}rrez, Patricio Mart{\'\i}nez-Barco, {\'A}lvaro D{\'\i}ez

The recent failures of traditional poll models, like the predictions in United Kingdom with the Brexit, or in United States presidential elections with the victory of Donald Trump, have been noteworthy.

Opinion Mining

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