@inproceedings{pais-2024-racai,
title = "{RACAI} at {C}limate{A}ctivism 2024: Improving Detection of Hate Speech by Extending {LLM} Predictions with Handcrafted Features",
author = "P{\u{a}}i{\textcommabelow{s}}, Vasile",
editor = {H{\"u}rriyeto{\u{g}}lu, Ali and
Tanev, Hristo and
Thapa, Surendrabikram and
Uludo{\u{g}}an, G{\"o}k{\c{c}}e},
booktitle = "Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)",
month = mar,
year = "2024",
address = "St. Julians, Malta",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2024.case-1.8",
pages = "67--72",
abstract = "This paper describes the system that participated in the Climate Activism Stance and Hate Event Detection shared task organized at The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). The system tackles the important task of hate speech detection by combining large language model predictions with manually designed features, while trying to explain where the LLM approach fails to predict the correct results.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="pais-2024-racai">
<titleInfo>
<title>RACAI at ClimateActivism 2024: Improving Detection of Hate Speech by Extending LLM Predictions with Handcrafted Features</title>
</titleInfo>
<name type="personal">
<namePart type="given">Vasile</namePart>
<namePart type="family">Păi\textcommabelows</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2024-03</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)</title>
</titleInfo>
<name type="personal">
<namePart type="given">Ali</namePart>
<namePart type="family">Hürriyetoğlu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Hristo</namePart>
<namePart type="family">Tanev</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Surendrabikram</namePart>
<namePart type="family">Thapa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Gökçe</namePart>
<namePart type="family">Uludoğan</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">St. Julians, Malta</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper describes the system that participated in the Climate Activism Stance and Hate Event Detection shared task organized at The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). The system tackles the important task of hate speech detection by combining large language model predictions with manually designed features, while trying to explain where the LLM approach fails to predict the correct results.</abstract>
<identifier type="citekey">pais-2024-racai</identifier>
<location>
<url>https://aclanthology.org/2024.case-1.8</url>
</location>
<part>
<date>2024-03</date>
<extent unit="page">
<start>67</start>
<end>72</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T RACAI at ClimateActivism 2024: Improving Detection of Hate Speech by Extending LLM Predictions with Handcrafted Features
%A Păi\textcommabelows, Vasile
%Y Hürriyetoğlu, Ali
%Y Tanev, Hristo
%Y Thapa, Surendrabikram
%Y Uludoğan, Gökçe
%S Proceedings of the 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024)
%D 2024
%8 March
%I Association for Computational Linguistics
%C St. Julians, Malta
%F pais-2024-racai
%X This paper describes the system that participated in the Climate Activism Stance and Hate Event Detection shared task organized at The 7th Workshop on Challenges and Applications of Automated Extraction of Socio-political Events from Text (CASE 2024). The system tackles the important task of hate speech detection by combining large language model predictions with manually designed features, while trying to explain where the LLM approach fails to predict the correct results.
%U https://aclanthology.org/2024.case-1.8
%P 67-72
Markdown (Informal)
[RACAI at ClimateActivism 2024: Improving Detection of Hate Speech by Extending LLM Predictions with Handcrafted Features](https://aclanthology.org/2024.case-1.8) (Păiș, CASE-WS 2024)
ACL