@inproceedings{carvalho-etal-2026-exploratory,
title = "An Exploratory Study of Discursive Signals Annotation in User-Generated Content",
author = "Carvalho, Riv{\^a}nia da Paix{\~a}o de Jesus and
Pereira, Mateus Ara{\'u}jo and
Souza, Jackson Wilke da Cruz",
editor = "Barbosa, Bryan Khelven da Silva and
Paes, Aline and
Felippo, Ariani Di",
booktitle = "Proceedings of the 17th {B}razilian Symposium in Information and Human Language Technology",
month = oct,
year = "2026",
address = "Cuiab{\'a}, Mato Grosso, Brazil",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2026.stil-1.37/",
doi = "10.5753/stil.2026.33277",
pages = "454--463",
abstract = "Nesse artigo, apresentamos a anota{\c{c}}{\~a}o de Sinalizadores Discursivos (SDs) em Conte{\'u}dos Gerados por Usu{\'a}rios (UGC), com base em uma amostra de tweets/posts do dom{\'i}nio do mercado financeiro, anotados de acordo com o modelo da Enhanced Rhetorical Structure Theory (eRST). Os resultados revelam a presen{\c{c}}a de rela{\c{c}}{\~o}es discursivas recorrentes nesse tipo de texto e seus respectivos SDs, contribuindo para a expans{\~a}o da taxonomia previamente estabelecida."
}<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="carvalho-etal-2026-exploratory">
<titleInfo>
<title>An Exploratory Study of Discursive Signals Annotation in User-Generated Content</title>
</titleInfo>
<name type="personal">
<namePart type="given">Rivânia</namePart>
<namePart type="given">da</namePart>
<namePart type="given">Paixão</namePart>
<namePart type="given">de</namePart>
<namePart type="given">Jesus</namePart>
<namePart type="family">Carvalho</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Mateus</namePart>
<namePart type="given">Araújo</namePart>
<namePart type="family">Pereira</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Jackson</namePart>
<namePart type="given">Wilke</namePart>
<namePart type="given">da</namePart>
<namePart type="given">Cruz</namePart>
<namePart type="family">Souza</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2026-10</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology</title>
</titleInfo>
<name type="personal">
<namePart type="given">Bryan</namePart>
<namePart type="given">Khelven</namePart>
<namePart type="given">da</namePart>
<namePart type="given">Silva</namePart>
<namePart type="family">Barbosa</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Aline</namePart>
<namePart type="family">Paes</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Ariani</namePart>
<namePart type="given">Di</namePart>
<namePart type="family">Felippo</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<publisher>Association for Computational Linguistics</publisher>
<place>
<placeTerm type="text">Cuiabá, Mato Grosso, Brazil</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>Nesse artigo, apresentamos a anotação de Sinalizadores Discursivos (SDs) em Conteúdos Gerados por Usuários (UGC), com base em uma amostra de tweets/posts do domínio do mercado financeiro, anotados de acordo com o modelo da Enhanced Rhetorical Structure Theory (eRST). Os resultados revelam a presença de relações discursivas recorrentes nesse tipo de texto e seus respectivos SDs, contribuindo para a expansão da taxonomia previamente estabelecida.</abstract>
<identifier type="citekey">carvalho-etal-2026-exploratory</identifier>
<identifier type="doi">10.5753/stil.2026.33277</identifier>
<location>
<url>https://aclanthology.org/2026.stil-1.37/</url>
</location>
<part>
<date>2026-10</date>
<extent unit="page">
<start>454</start>
<end>463</end>
</extent>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T An Exploratory Study of Discursive Signals Annotation in User-Generated Content
%A Carvalho, Rivânia da Paixão de Jesus
%A Pereira, Mateus Araújo
%A Souza, Jackson Wilke da Cruz
%Y Barbosa, Bryan Khelven da Silva
%Y Paes, Aline
%Y Felippo, Ariani Di
%S Proceedings of the 17th Brazilian Symposium in Information and Human Language Technology
%D 2026
%8 October
%I Association for Computational Linguistics
%C Cuiabá, Mato Grosso, Brazil
%F carvalho-etal-2026-exploratory
%X Nesse artigo, apresentamos a anotação de Sinalizadores Discursivos (SDs) em Conteúdos Gerados por Usuários (UGC), com base em uma amostra de tweets/posts do domínio do mercado financeiro, anotados de acordo com o modelo da Enhanced Rhetorical Structure Theory (eRST). Os resultados revelam a presença de relações discursivas recorrentes nesse tipo de texto e seus respectivos SDs, contribuindo para a expansão da taxonomia previamente estabelecida.
%R 10.5753/stil.2026.33277
%U https://aclanthology.org/2026.stil-1.37/
%U https://doi.org/10.5753/stil.2026.33277
%P 454-463
Markdown (Informal)
[An Exploratory Study of Discursive Signals Annotation in User-Generated Content](https://aclanthology.org/2026.stil-1.37/) (Carvalho et al., STIL 2026)
ACL