Diego Maupomé

According to our database1, Diego Maupomé authored at least 18 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Automatically Finding Evidence and Predicting Answers in Mental Health Self-Report Questionnaires.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2024), 2024

A Pretrained Language Model for Mental Health Risk Detection (short paper).
Proceedings of Machine Learning for Cognitive and Mental Health Workshop (ML4CMH 2024) Co-located with the Thirty-Eighth AAAI Conference on Artificial Intelligence (AAAI 2024), 2024

2023
Lightweight Methods for Early Risk Detection.
Proceedings of the Working Notes of the Conference and Labs of the Evaluation Forum (CLEF 2023), 2023

2022
Contextualizer: Connecting the Dots of Context with Second-Order Attention.
Inf., 2022

Automatic Text Simplification of News Articles in the Context of Public Broadcasting.
CoRR, 2022

Measuring the Severity of the Signs of Eating Disorders Using Similarity-Based Models.
Proceedings of the Working Notes of CLEF 2022 - Conference and Labs of the Evaluation Forum, Bologna, Italy, September 5th - to, 2022

On the Influence of Annotation Quality in Suicidal Risk Assessment from Text.
Proceedings of the 35th Canadian Conference on Artificial Intelligence, Toronto, Ontario, 2022

2021
An Iterative Contextualization Algorithm with Second-Order Attention.
CoRR, 2021

Early Detection of Signs of Pathological Gambling, Self-Harm and Depression through Topic Extraction and Neural Networks.
Proceedings of the Working Notes of CLEF 2021 - Conference and Labs of the Evaluation Forum, Bucharest, Romania, September 21st - to, 2021

Position Encoding Schemes for Linear Aggregation of Word Sequences.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Leveraging Textual Similarity to Predict Beck Depression Inventory Answers.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Topic Modeling in Embedding Spaces for Depression Assessment.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

Topic Models for Assessment of Mental Health Issues.
Proceedings of the 34th Canadian Conference on Artificial Intelligence, 2021

2020
Language Modeling with a General Second-Order RNN.
Proceedings of The 12th Language Resources and Evaluation Conference, 2020

Early Mental Health Risk Assessment through Writing Styles, Topics and Neural Models.
Proceedings of the Working Notes of CLEF 2020, 2020

2019
Multiplicative Models for Recurrent Language Modeling.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2019

Inter and Intra Document Attention for Depression Risk Assessment.
Proceedings of the Advances in Artificial Intelligence, 2019

2018
Using Topic Extraction on Social Media Content for the Early Detection of Depression.
Proceedings of the Working Notes of CLEF 2018, 2018


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