UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F49777513%3A23520%2F24%3A43972803" target="_blank" >RIV/49777513:23520/24:43972803 - isvavai.cz</a>

Result on the web

<a href="https://aclanthology.org/2024.wassa-1.47/" target="_blank" >https://aclanthology.org/2024.wassa-1.47/</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

UWB at WASSA-2024 Shared Task 2: Cross-lingual Emotion Detection

Original language description

This paper presents our system built for the WASSA-2024 Cross-lingual Emotion Detection Shared Task. The task consists of two subtasks: first, to assess an emotion label from six possible classes for a given tweet in one of five languages, and second, to predict words triggering the detected emotions in binary and numerical formats. Our proposed approach revolves around fine-tuning quantized large language models, specifically Orca 2, with low-rank adapters (LoRA) and multilingual Transformer-based models, such as XLM-R and mT5. We enhance performance through machine translation for both subtasks and trigger word switching for the second subtask. The system achieves excellent performance, ranking 1st in numerical trigger words detection, 3rd in binary trigger words detection, and 7th in emotion detection.

Czech name

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Czech description

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Type

D - Article in proceedings

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

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Continuities

S - Specificky vyzkum na vysokych skolach

Publication year

2024

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

Proceedings of the 14th Workshop on Computational Approaches to Subjectivity, Sentiment, &amp; Social Media Analysis

ISBN

979-8-89176-156-8

ISSN

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e-ISSN

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Number of pages

7

Pages from-to

483-489

Publisher name

Association for Computational Linguistics

Place of publication

Kerrville

Event location

Bangkok, Thailand

Event date

Aug 15, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

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