<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="sousa-etal-2026-extending">
    <titleInfo>
        <title>Extending an Ensemble Baseline with Corpus-Based Graph Features for Portuguese Pun Detection</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Avelar</namePart>
        <namePart type="given">Rodrigues</namePart>
        <namePart type="given">de</namePart>
        <namePart type="family">Sousa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Camilla</namePart>
        <namePart type="given">Soares</namePart>
        <namePart type="family">Sousa</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Carlos</namePart>
        <namePart type="given">Henrique</namePart>
        <namePart type="given">Santos</namePart>
        <namePart type="family">Barros</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Rafael</namePart>
        <namePart type="given">Torres</namePart>
        <namePart type="family">Anchiêta</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2026-04</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Marlo</namePart>
            <namePart type="family">Souza</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Iria</namePart>
            <namePart type="family">de-Dios-Flores</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Diana</namePart>
            <namePart type="family">Santos</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Larissa</namePart>
            <namePart type="family">Freitas</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</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">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Eugénio</namePart>
            <namePart type="family">Ribeiro</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Salvador, Brazil</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-387-6</identifier>
    </relatedItem>
    <abstract>Automatic pun detection remains challenging because it depends on lexical ambiguity and contextual interaction, which are not explicitly captured by linear text representations. In Portuguese, TF-IDF-based ensemble methods provide competitive and interpretable baselines, but remain limited by surface-level features. This work investigates whether corpus-based graph information can complement such methods. Three graph representations are constructed from the Puntuguese corpus: a Co-occurrence graph, a PPMI-weighted graph, and a Pun-Context graph. In the current pipeline, each graph is converted into low-dimensional node embeddings with TruncatedSVD, which are then aggregated into document-level features and concatenated with TF-IDF representations in a soft-voting ensemble. Experimental results on the test set show that graph-based enrichment does not uniformly improve performance: Pun-Context and PPMI yield the strongest graph-augmented results, whereas combining all graphs degrades performance. These findings indicate that the usefulness of graph-based information depends strongly on how lexical relations are encoded and aggregated at the document level.</abstract>
    <identifier type="citekey">sousa-etal-2026-extending</identifier>
    <location>
        <url>https://aclanthology.org/2026.propor-1.75/</url>
    </location>
    <part>
        <date>2026-04</date>
        <extent unit="page">
            <start>759</start>
            <end>769</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Extending an Ensemble Baseline with Corpus-Based Graph Features for Portuguese Pun Detection
%A Sousa, Avelar Rodrigues de
%A Sousa, Camilla Soares
%A Barros, Carlos Henrique Santos
%A Anchiêta, Rafael Torres
%Y Souza, Marlo
%Y de-Dios-Flores, Iria
%Y Santos, Diana
%Y Freitas, Larissa
%Y Souza, Jackson Wilke da Cruz
%Y Ribeiro, Eugénio
%S Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1
%D 2026
%8 April
%I Association for Computational Linguistics
%C Salvador, Brazil
%@ 979-8-89176-387-6
%F sousa-etal-2026-extending
%X Automatic pun detection remains challenging because it depends on lexical ambiguity and contextual interaction, which are not explicitly captured by linear text representations. In Portuguese, TF-IDF-based ensemble methods provide competitive and interpretable baselines, but remain limited by surface-level features. This work investigates whether corpus-based graph information can complement such methods. Three graph representations are constructed from the Puntuguese corpus: a Co-occurrence graph, a PPMI-weighted graph, and a Pun-Context graph. In the current pipeline, each graph is converted into low-dimensional node embeddings with TruncatedSVD, which are then aggregated into document-level features and concatenated with TF-IDF representations in a soft-voting ensemble. Experimental results on the test set show that graph-based enrichment does not uniformly improve performance: Pun-Context and PPMI yield the strongest graph-augmented results, whereas combining all graphs degrades performance. These findings indicate that the usefulness of graph-based information depends strongly on how lexical relations are encoded and aggregated at the document level.
%U https://aclanthology.org/2026.propor-1.75/
%P 759-769

Markdown (Informal)

[Extending an Ensemble Baseline with Corpus-Based Graph Features for Portuguese Pun Detection](https://aclanthology.org/2026.propor-1.75/) (Sousa et al., PROPOR 2026)

• Extending an Ensemble Baseline with Corpus-Based Graph Features for Portuguese Pun Detection (Sousa et al., PROPOR 2026)

ACL

• Avelar Rodrigues de Sousa, Camilla Soares Sousa, Carlos Henrique Santos Barros, and Rafael Torres Anchiêta. 2026. Extending an Ensemble Baseline with Corpus-Based Graph Features for Portuguese Pun Detection. In Proceedings of the 17th International Conference on Computational Processing of Portuguese (PROPOR 2026) - Vol. 1, pages 759–769, Salvador, Brazil. Association for Computational Linguistics.