Search Results for author: Esaú Villatoro-Tello

Found 8 papers, 4 papers with code

Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews

1 code implementation3 Jul 2023 Sergio Burdisso, Esaú Villatoro-Tello, Srikanth Madikeri, Petr Motlicek

We propose a simple approach for weighting self-connecting edges in a Graph Convolutional Network (GCN) and show its impact on depression detection from transcribed clinical interviews.

Depression Detection

A Comparative Analysis of Distributional Term Representations for Author Profiling in Social Media

no code implementations21 May 2019 Miguel Á. Álvarez-Carmona, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Luis Villaseñor-Pienda

Author Profiling (AP) aims at predicting specific characteristics from a group of authors by analyzing their written documents.

TxPI-u: A Resource for Personality Identification of Undergraduates

no code implementations20 Jun 2018 Gabriela Ramírez-de-la-Rosa, Esaú Villatoro-Tello, Héctor Jiménez-Salazar

Resources such as labeled corpora are necessary to train automatic models within the natural language processing (NLP) field.

Semantically-informed distance and similarity measures for paraphrase plagiarism identification

no code implementations29 May 2018 Miguel A. Álvarez-Carmona, Marc Franco-Salvador, Esaú Villatoro-Tello, Manuel Montes-y-Gómez, Paolo Rosso, Luis Villaseñor-Pineda

Paraphrase plagiarism identification represents a very complex task given that plagiarized texts are intentionally modified through several rewording techniques.

A visual approach for age and gender identification on Twitter

no code implementations28 May 2018 Miguel A. Alvarez-Carmona, Luis Pellegrin, Manuel Montes-y-Gómez, Fernando Sánchez-Vega, Hugo Jair Escalante, A. Pastor López-Monroy, Luis Villaseñor-Pineda, Esaú Villatoro-Tello

The goal of Author Profiling (AP) is to identify demographic aspects (e. g., age, gender) from a given set of authors by analyzing their written texts.

Marketing

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