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BURDISSO, S. VILLATORO-TELLO, E. MADIKERI, S. MOTLÍČEK, P.
Originální název
Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews
Typ
článek ve sborníku ve WoS nebo Scopus
Jazyk
angličtina
Originální abstrakt
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. To this end, we use a GCN for model- ing non-consecutive and long-distance semantics to classify the transcriptions into depressed or control subjects. The proposed method aims to mitigate the limiting assumptions of locality and the equal importance of self-connections vs. edges to neighbor- ing nodes in GCNs, while preserving attractive features such as low computational cost, data agnostic, and interpretability capa- bilities. We perform an exhaustive evaluation in two benchmark datasets. Results show that our approach consistently outper- forms the vanilla GCN model as well as previously reported re- sults, achieving an F1=0.84% on both datasets. Finally, a qual- itative analysis illustrates the interpretability capabilities of the proposed approach and its alignment with previous findings in psychology.
Klíčová slova
depression detection, graph neural networks, node weighted graphs, limited training data, interpretability.
Autoři
BURDISSO, S.; VILLATORO-TELLO, E.; MADIKERI, S.; MOTLÍČEK, P.
Vydáno
20. 8. 2023
Nakladatel
International Speech Communication Association
Místo
Dublin
ISSN
1990-9772
Periodikum
Proceedings of Interspeech
Ročník
2023
Číslo
8
Stát
Francouzská republika
Strany od
3617
Strany do
3621
Strany počet
5
URL
https://www.isca-archive.org/interspeech_2023/burdisso23_interspeech.pdf
BibTex
@inproceedings{BUT187755, author="BURDISSO, S. and VILLATORO-TELLO, E. and MADIKERI, S. and MOTLÍČEK, P.", title="Node-weighted Graph Convolutional Network for Depression Detection in Transcribed Clinical Interviews", booktitle="Proceedings of the Annual Conference of International Speech Communication Association, INTERSPEECH", year="2023", journal="Proceedings of Interspeech", volume="2023", number="8", pages="3617--3621", publisher="International Speech Communication Association", address="Dublin", doi="10.21437/Interspeech.2023-1923", issn="1990-9772", url="https://www.isca-archive.org/interspeech_2023/burdisso23_interspeech.pdf" }