@inproceedings{porvatov-etal-2024-big,
title = "Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits {\&} Gender Analysis",
author = "Porvatov, Vadim A. and
Strapparava, Carlo and
Tiuleneva, Marina",
editor = "Zock, Michael and
Chersoni, Emmanuele and
Hsu, Yu-Yin and
de Deyne, Simon",
booktitle = "Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024",
month = may,
year = "2024",
address = "Torino, Italia",
publisher = "ELRA and ICCL",
url = "https://aclanthology.org/2024.cogalex-1.13",
pages = "114--119",
abstract = "This paper introduces a novel textual dataset comprising fictional characters{'} lines with annotations based on their gender and Big-Five personality traits. Using psycholinguistic findings, we compared texts attributed to fictional characters and real people with respect to their genders and personality traits. Our results indicate that imagined personae mirror most of the language categories observed in real people while demonstrating them in a more expressive manner.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="porvatov-etal-2024-big">
<titleInfo>
<title>Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits & Gender Analysis</title>
</titleInfo>
<name type="personal">
<namePart type="given">Vadim</namePart>
<namePart type="given">A</namePart>
<namePart type="family">Porvatov</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Carlo</namePart>
<namePart type="family">Strapparava</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Marina</namePart>
<namePart type="family">Tiuleneva</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2024-05</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024</title>
</titleInfo>
<name type="personal">
<namePart type="given">Michael</namePart>
<namePart type="family">Zock</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Emmanuele</namePart>
<namePart type="family">Chersoni</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Yu-Yin</namePart>
<namePart type="family">Hsu</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Simon</namePart>
<namePart type="family">de Deyne</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>ELRA and ICCL</publisher>
<place>
<placeTerm type="text">Torino, Italia</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>This paper introduces a novel textual dataset comprising fictional characters’ lines with annotations based on their gender and Big-Five personality traits. Using psycholinguistic findings, we compared texts attributed to fictional characters and real people with respect to their genders and personality traits. Our results indicate that imagined personae mirror most of the language categories observed in real people while demonstrating them in a more expressive manner.</abstract>
<identifier type="citekey">porvatov-etal-2024-big</identifier>
<location>
<url>https://aclanthology.org/2024.cogalex-1.13</url>
</location>
<part>
<date>2024-05</date>
<extent unit="page">
<start>114</start>
<end>119</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits & Gender Analysis
%A Porvatov, Vadim A.
%A Strapparava, Carlo
%A Tiuleneva, Marina
%Y Zock, Michael
%Y Chersoni, Emmanuele
%Y Hsu, Yu-Yin
%Y de Deyne, Simon
%S Proceedings of the Workshop on Cognitive Aspects of the Lexicon @ LREC-COLING 2024
%D 2024
%8 May
%I ELRA and ICCL
%C Torino, Italia
%F porvatov-etal-2024-big
%X This paper introduces a novel textual dataset comprising fictional characters’ lines with annotations based on their gender and Big-Five personality traits. Using psycholinguistic findings, we compared texts attributed to fictional characters and real people with respect to their genders and personality traits. Our results indicate that imagined personae mirror most of the language categories observed in real people while demonstrating them in a more expressive manner.
%U https://aclanthology.org/2024.cogalex-1.13
%P 114-119
Markdown (Informal)
[Big-Five Backstage: A Dramatic Dataset for Characters Personality Traits & Gender Analysis](https://aclanthology.org/2024.cogalex-1.13) (Porvatov et al., CogALex 2024)
ACL