<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="wilson-etal-2025-raincitynlp">
    <titleInfo>
        <title>RainCityNLP at BioLaySumm2025: Extract then Summarize at Home</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Jen</namePart>
        <namePart type="family">Wilson</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Michael</namePart>
        <namePart type="family">Pollack</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Rachel</namePart>
        <namePart type="family">Edwards</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Avery</namePart>
        <namePart type="family">Bellamy</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Helen</namePart>
        <namePart type="family">Salgi</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2025-08</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Sarvesh</namePart>
            <namePart type="family">Soni</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Dina</namePart>
            <namePart type="family">Demner-Fushman</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>Association for Computational Linguistics</publisher>
            <place>
                <placeTerm type="text">Vienna, Austria</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
        <identifier type="isbn">979-8-89176-276-3</identifier>
    </relatedItem>
    <abstract>As part of the BioLaySumm shared task at ACL 2025, we developed a summarization tool designed to translate complex biomedical texts into layperson-friendly summaries. Our goal was to enhance accessibility and comprehension for patients and others without specialized medical knowledge. The system employed an extractive-then-abstractive summarization pipeline. For the abstractive component, we experimented with two models: Pegasus-XSum and a Falcons.ai model pre-trained on medical data. Final outputs were evaluated using the official BioLaySumm 2025 metrics. To promote practical accessibility, we completed all experimentation on consumer-grade hardware, demonstrating the feasibility of our approach in low-resource settings.</abstract>
    <identifier type="citekey">wilson-etal-2025-raincitynlp</identifier>
    <identifier type="doi">10.18653/v1/2025.bionlp-share.24</identifier>
    <location>
        <url>https://aclanthology.org/2025.bionlp-share.24/</url>
    </location>
    <part>
        <date>2025-08</date>
        <extent unit="page">
            <start>190</start>
            <end>195</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T RainCityNLP at BioLaySumm2025: Extract then Summarize at Home
%A Wilson, Jen
%A Pollack, Michael
%A Edwards, Rachel
%A Bellamy, Avery
%A Salgi, Helen
%Y Soni, Sarvesh
%Y Demner-Fushman, Dina
%S Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks)
%D 2025
%8 August
%I Association for Computational Linguistics
%C Vienna, Austria
%@ 979-8-89176-276-3
%F wilson-etal-2025-raincitynlp
%X As part of the BioLaySumm shared task at ACL 2025, we developed a summarization tool designed to translate complex biomedical texts into layperson-friendly summaries. Our goal was to enhance accessibility and comprehension for patients and others without specialized medical knowledge. The system employed an extractive-then-abstractive summarization pipeline. For the abstractive component, we experimented with two models: Pegasus-XSum and a Falcons.ai model pre-trained on medical data. Final outputs were evaluated using the official BioLaySumm 2025 metrics. To promote practical accessibility, we completed all experimentation on consumer-grade hardware, demonstrating the feasibility of our approach in low-resource settings.
%R 10.18653/v1/2025.bionlp-share.24
%U https://aclanthology.org/2025.bionlp-share.24/
%U https://doi.org/10.18653/v1/2025.bionlp-share.24
%P 190-195

Markdown (Informal)

[RainCityNLP at BioLaySumm2025: Extract then Summarize at Home](https://aclanthology.org/2025.bionlp-share.24/) (Wilson et al., BioNLP 2025)

• RainCityNLP at BioLaySumm2025: Extract then Summarize at Home (Wilson et al., BioNLP 2025)

ACL

• Jen Wilson, Michael Pollack, Rachel Edwards, Avery Bellamy, and Helen Salgi. 2025. RainCityNLP at BioLaySumm2025: Extract then Summarize at Home. In Proceedings of the 24th Workshop on Biomedical Language Processing (Shared Tasks), pages 190–195, Vienna, Austria. Association for Computational Linguistics.