@inproceedings{garcia-santiago-etal-2023-cimat,
title = "{CIMAT}-{NLP}@{LT}-{EDI}-2023: Finegrain Depression Detection by Multiple Binary Problems Approach",
author = "Garc{\'\i}a Santiago, Mar{\'\i}a de Jes{\'u}s and
S{\'a}nchez Vega, Fernando and
L{\'o}pez Monroy, Adri{\'a}n Pastor",
editor = "Chakravarthi, Bharathi R. and
Bharathi, B. and
Griffith, Joephine and
Bali, Kalika and
Buitelaar, Paul",
booktitle = "Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion",
month = sep,
year = "2023",
address = "Varna, Bulgaria",
publisher = "INCOMA Ltd., Shoumen, Bulgaria",
url = "https://aclanthology.org/2023.ltedi-1.18",
pages = "124--130",
abstract = "This work described the work of the team CIMAT-NLP on the Shared task of Detecting Signs of Depression from Social Media Text at LT-EDI@RANLP 2023, which consists of depression classification on three levels: {``}not depression{''}, {``}moderate{''} depression and {``}severe{''} depression on text from social media. In this work, we proposed two approaches: (1) a transformer model which can handle big text without truncation of its length, and (2) an ensemble of six binary Bag of Words. Our team placed fourth in the competition and found that models trained with our approaches could place second",
}
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<abstract>This work described the work of the team CIMAT-NLP on the Shared task of Detecting Signs of Depression from Social Media Text at LT-EDI@RANLP 2023, which consists of depression classification on three levels: “not depression”, “moderate” depression and “severe” depression on text from social media. In this work, we proposed two approaches: (1) a transformer model which can handle big text without truncation of its length, and (2) an ensemble of six binary Bag of Words. Our team placed fourth in the competition and found that models trained with our approaches could place second</abstract>
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%0 Conference Proceedings
%T CIMAT-NLP@LT-EDI-2023: Finegrain Depression Detection by Multiple Binary Problems Approach
%A García Santiago, María de Jesús
%A Sánchez Vega, Fernando
%A López Monroy, Adrián Pastor
%Y Chakravarthi, Bharathi R.
%Y Bharathi, B.
%Y Griffith, Joephine
%Y Bali, Kalika
%Y Buitelaar, Paul
%S Proceedings of the Third Workshop on Language Technology for Equality, Diversity and Inclusion
%D 2023
%8 September
%I INCOMA Ltd., Shoumen, Bulgaria
%C Varna, Bulgaria
%F garcia-santiago-etal-2023-cimat
%X This work described the work of the team CIMAT-NLP on the Shared task of Detecting Signs of Depression from Social Media Text at LT-EDI@RANLP 2023, which consists of depression classification on three levels: “not depression”, “moderate” depression and “severe” depression on text from social media. In this work, we proposed two approaches: (1) a transformer model which can handle big text without truncation of its length, and (2) an ensemble of six binary Bag of Words. Our team placed fourth in the competition and found that models trained with our approaches could place second
%U https://aclanthology.org/2023.ltedi-1.18
%P 124-130
Markdown (Informal)
[CIMAT-NLP@LT-EDI-2023: Finegrain Depression Detection by Multiple Binary Problems Approach](https://aclanthology.org/2023.ltedi-1.18) (García Santiago et al., LTEDI-WS 2023)
ACL