Search Results for author: Mathias Etcheverry

Found 5 papers, 0 papers with code

Antonymy-Synonymy Discrimination through the Repelling Parasiamese Neural Network

no code implementations29 Sep 2021 Mathias Etcheverry, Dina Wonsever

Antonymic and synonymic pairs may both occur nearby in word embeddings spaces because they have similar distributional information.

Word Embeddings

Supervised Hypernymy Detection in Spanish through Order Embeddings

no code implementations LREC 2020 Gun Woo Lee, Mathias Etcheverry, Fern, Daniel ez Sanchez, Dina Wonsever

This paper addresses the task of supervised hypernymy detection in Spanish through an order embedding and using pretrained word vectors as input.

Transfer Learning

Unraveling Antonym's Word Vectors through a Siamese-like Network

no code implementations ACL 2019 Mathias Etcheverry, Dina Wonsever

Discriminating antonyms and synonyms is an important NLP task that has the difficulty that both, antonyms and synonyms, contains similar distributional information.

RETUYT in TASS 2017: Sentiment Analysis for Spanish Tweets using SVM and CNN

no code implementations17 Oct 2017 Aiala Rosá, Luis Chiruzzo, Mathias Etcheverry, Santiago Castro

This article presents classifiers based on SVM and Convolutional Neural Networks (CNN) for the TASS 2017 challenge on tweets sentiment analysis.

Sentiment Analysis Word Embeddings

Spanish Word Vectors from Wikipedia

no code implementations LREC 2016 Mathias Etcheverry, Dina Wonsever

Contents analisys from text data requires semantic representations that are difficult to obtain automatically, as they may require large handcrafted knowledge bases or manually annotated examples.

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