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added videos for papers presented at NAACL24 + plenaries
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‎data/xml/2023.tacl.xml

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<pages>1114–1131</pages>
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<url hash="fd740972">2023.tacl-1.63</url>
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<bibkey>zhang-etal-2023-miracl</bibkey>
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<video href="2023.tacl-1.63.mp4"/>
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</paper>
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<paper id="64">
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<title><fixed-case>DMDD</fixed-case>: A Large-Scale Dataset for Dataset Mentions Detection</title>

‎data/xml/2024.americasnlp.xml

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<attachment type="SupplementaryMaterial" hash="465f4638">2024.americasnlp-1.2.SupplementaryMaterial.zip</attachment>
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<bibkey>prieto-etal-2024-translation</bibkey>
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<doi>10.18653/v1/2024.americasnlp-1.2</doi>
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<video href="2024.americasnlp-1.2.mp4"/>
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</paper>
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<paper id="3">
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<title>Word-level prediction in <fixed-case>P</fixed-case>lains <fixed-case>C</fixed-case>ree: First steps</title>
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<url hash="e6730ca0">2024.americasnlp-1.3</url>
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<bibkey>kriukova-arppe-2024-word</bibkey>
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<doi>10.18653/v1/2024.americasnlp-1.3</doi>
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<video href="2024.americasnlp-1.3.mp4"/>
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</paper>
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<paper id="4">
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<title>Mapping ‘when’-clauses in <fixed-case>L</fixed-case>atin <fixed-case>A</fixed-case>merican and <fixed-case>C</fixed-case>aribbean languages: an experiment in subtoken-based typology</title>
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<doi>10.18653/v1/2024.americasnlp-1.4</doi>
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<revision id="1" href="2024.americasnlp-1.4v1" hash="79db931f"/>
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<revision id="2" href="2024.americasnlp-1.4v2" hash="51fcb7c5" date="2024-10-18">Compressed PDF version.</revision>
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<video href="2024.americasnlp-1.4.mp4"/>
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</paper>
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<paper id="5">
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<title>Comparing <fixed-case>LLM</fixed-case> prompting with Cross-lingual transfer performance on Indigenous and Low-resource <fixed-case>B</fixed-case>razilian Languages</title>
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<url hash="aa7f52ce">2024.americasnlp-1.8</url>
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<bibkey>karson-coto-solano-2024-morphological</bibkey>
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<doi>10.18653/v1/2024.americasnlp-1.8</doi>
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<video href="2024.americasnlp-1.8.mp4"/>
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</paper>
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<paper id="9">
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<title><fixed-case>LLM</fixed-case>-Assisted Rule Based Machine Translation for Low/No-Resource Languages</title>
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<attachment type="SupplementaryMaterial" hash="4e941c22">2024.americasnlp-1.9.SupplementaryMaterial.zip</attachment>
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<bibkey>coleman-etal-2024-llm</bibkey>
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<doi>10.18653/v1/2024.americasnlp-1.9</doi>
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<video href="2024.americasnlp-1.9.mp4"/>
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</paper>
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<paper id="10">
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<title>A Concise Survey of <fixed-case>OCR</fixed-case> for Low-Resource Languages</title>
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<url hash="8559bd07">2024.americasnlp-1.10</url>
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<bibkey>agarwal-anastasopoulos-2024-concise</bibkey>
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<doi>10.18653/v1/2024.americasnlp-1.10</doi>
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<video href="2024.americasnlp-1.10.mp4"/>
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</paper>
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<paper id="11">
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<title>Unlocking Knowledge with <fixed-case>OCR</fixed-case>-Driven Document Digitization for <fixed-case>P</fixed-case>eruvian Indigenous Languages</title>

‎data/xml/2024.bea.xml

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‎data/xml/2024.cl.xml

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<pages>237–291</pages>
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<url hash="47b4f1d0">2024.cl-1.8</url>
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<bibkey>ziems-etal-2024-large</bibkey>
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<video href="2024.cl-1.8.mp4"/>
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</paper>
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<paper id="9">
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<title>Language Model Behavior: A Comprehensive Survey</title>

‎data/xml/2024.clinicalnlp.xml

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<url hash="185096e0">2024.clinicalnlp-1.1</url>
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<bibkey>chen-hirschberg-2024-exploring</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.1</doi>
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<video href="2024.clinicalnlp-1.1.mp4"/>
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</paper>
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<paper id="2">
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<title>Efficient Medical Question Answering with Knowledge-Augmented Question Generation</title>
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<url hash="ee12bdf7">2024.clinicalnlp-1.8</url>
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<bibkey>burdisso-etal-2024-daic</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.8</doi>
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<video href="2024.clinicalnlp-1.8.mp4"/>
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</paper>
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<paper id="9">
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<title>Parameter-Efficient Fine-Tuning of <fixed-case>LL</fixed-case>a<fixed-case>MA</fixed-case> for the Clinical Domain</title>
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<url hash="328cb574">2024.clinicalnlp-1.10</url>
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<bibkey>sanchez-carmona-etal-2024-multilevel</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.10</doi>
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<video href="2024.clinicalnlp-1.10.mp4"/>
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</paper>
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<paper id="11">
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<title>A Privacy-Preserving Corpus for Occupational Health in <fixed-case>S</fixed-case>panish: Evaluation for <fixed-case>NER</fixed-case> and Classification Tasks</title>
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<url hash="70726a1c">2024.clinicalnlp-1.11</url>
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<bibkey>aracena-etal-2024-privacy</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.11</doi>
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<video href="2024.clinicalnlp-1.11.mp4"/>
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</paper>
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<paper id="12">
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<title><fixed-case>DERA</fixed-case>: Enhancing Large Language Model Completions with Dialog-Enabled Resolving Agents</title>
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<url hash="651439c4">2024.clinicalnlp-1.12</url>
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<bibkey>nair-etal-2024-dera</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.12</doi>
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<video href="2024.clinicalnlp-1.12.mp4"/>
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</paper>
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<paper id="13">
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<title><fixed-case>L</fixed-case>lama<fixed-case>MTS</fixed-case>: Optimizing Metastasis Detection with Llama Instruction Tuning and <fixed-case>BERT</fixed-case>-Based Ensemble in <fixed-case>I</fixed-case>talian Clinical Reports</title>
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<url hash="4147de44">2024.clinicalnlp-1.14</url>
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<bibkey>boulanger-etal-2024-using</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.14</doi>
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<video href="2024.clinicalnlp-1.14.mp4"/>
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</paper>
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<paper id="15">
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<title>Large Language Models Provide Human-Level Medical Text Snippet Labeling</title>
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<url hash="1cf18239">2024.clinicalnlp-1.17</url>
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<bibkey>mustafa-etal-2024-leveraging</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.17</doi>
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<video href="2024.clinicalnlp-1.17.mp4"/>
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</paper>
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<paper id="18">
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<title>Revisiting Clinical Outcome Prediction for <fixed-case>MIMIC</fixed-case>-<fixed-case>IV</fixed-case></title>
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<url hash="f63ec4b4">2024.clinicalnlp-1.18</url>
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<bibkey>rohr-etal-2024-revisiting</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.18</doi>
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<video href="2024.clinicalnlp-1.18.mp4"/>
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</paper>
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<paper id="19">
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<title>Can <fixed-case>LLM</fixed-case>s Correct Physicians, Yet? Investigating Effective Interaction Methods in the Medical Domain</title>
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<url hash="596a859b">2024.clinicalnlp-1.19</url>
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<bibkey>sayin-etal-2024-llms</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.19</doi>
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<video href="2024.clinicalnlp-1.19.mp4"/>
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</paper>
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<paper id="20">
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<title>Leveraging pre-trained large language models for aphasia detection in <fixed-case>E</fixed-case>nglish and <fixed-case>C</fixed-case>hinese speakers</title>
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<url hash="5d12c6a4">2024.clinicalnlp-1.20</url>
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<bibkey>cong-etal-2024-leveraging</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.20</doi>
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<video href="2024.clinicalnlp-1.20.mp4"/>
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</paper>
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<paper id="21">
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<title>Fusion of Domain-Adapted Vision and Language Models for Medical Visual Question Answering</title>
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<url hash="33a2d27a">2024.clinicalnlp-1.21</url>
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<bibkey>ha-etal-2024-fusion</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.21</doi>
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<video href="2024.clinicalnlp-1.21.mp4"/>
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</paper>
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<paper id="22">
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<title><fixed-case>LLM</fixed-case>-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications</title>
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<url hash="8fc233cc">2024.clinicalnlp-1.23</url>
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<bibkey>cai-etal-2024-adapting</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.23</doi>
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<video href="2024.clinicalnlp-1.23.mp4"/>
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</paper>
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<paper id="24">
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<title><fixed-case>SERPENT</fixed-case>-<fixed-case>VLM</fixed-case> : Self-Refining Radiology Report Generation Using Vision Language Models</title>
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<url hash="30a316f1">2024.clinicalnlp-1.24</url>
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<bibkey>kapadnis-etal-2024-serpent</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.24</doi>
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<video href="2024.clinicalnlp-1.24.mp4"/>
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</paper>
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<paper id="25">
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<title><fixed-case>ERD</fixed-case>: A Framework for Improving <fixed-case>LLM</fixed-case> Reasoning for Cognitive Distortion Classification</title>
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<revision id="1" href="2024.clinicalnlp-1.26v1" hash="10a12469"/>
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<revision id="2" href="2024.clinicalnlp-1.26v2" hash="98d9c4fb" date="2024-07-14">Acknowledgments update.</revision>
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<doi>10.18653/v1/2024.clinicalnlp-1.26</doi>
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<video href="2024.clinicalnlp-1.26.mp4"/>
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</paper>
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<paper id="27">
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<title>Context Aggregation with Topic-focused Summarization for Personalized Medical Dialogue Generation</title>
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<url hash="7cd47975">2024.clinicalnlp-1.28</url>
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<bibkey>milintsevich-etal-2024-evaluating</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.28</doi>
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<video href="2024.clinicalnlp-1.28.mp4"/>
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</paper>
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<paper id="29">
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<title>Semi-automatic Construction of a Word Complexity Lexicon for <fixed-case>J</fixed-case>apanese Medical Terminology</title>
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<url hash="16d5d762">2024.clinicalnlp-1.35</url>
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<bibkey>gundabathula-kolar-2024-promptmind-team</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.35</doi>
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<video href="2024.clinicalnlp-1.35.mp4"/>
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</paper>
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<paper id="36">
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<title>Maven at <fixed-case>MEDIQA</fixed-case>-<fixed-case>CORR</fixed-case> 2024: Leveraging <fixed-case>RAG</fixed-case> and Medical <fixed-case>LLM</fixed-case> for Error Detection and Correction in Medical Notes</title>
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<url hash="7f490b8d">2024.clinicalnlp-1.37</url>
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<bibkey>haddadan-etal-2024-lailab</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.37</doi>
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<video href="2024.clinicalnlp-1.37.mp4"/>
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</paper>
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<paper id="38">
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<title>Lexicans at Chemotimelines 2024: Chemotimeline Chronicles - Leveraging Large Language Models (<fixed-case>LLM</fixed-case>s) for Temporal Relations Extraction in Oncological Electronic Health Records</title>
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<url hash="e3fbdb23">2024.clinicalnlp-1.46</url>
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<bibkey>pajaro-etal-2024-verbanexai</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.46</doi>
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<video href="2024.clinicalnlp-1.46.mp4"/>
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</paper>
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<paper id="47">
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<title><fixed-case>HSE</fixed-case> <fixed-case>NLP</fixed-case> Team at <fixed-case>MEDIQA</fixed-case>-<fixed-case>CORR</fixed-case> 2024 Task: In-Prompt Ensemble with Entities and Knowledge Graph for Medical Error Correction</title>
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<url hash="a4802ba5">2024.clinicalnlp-1.53</url>
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<bibkey>yao-etal-2024-overview</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.53</doi>
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<video href="2024.clinicalnlp-1.53.mp4"/>
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</paper>
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<paper id="54">
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<title><fixed-case>I</fixed-case>ryo<fixed-case>NLP</fixed-case> at <fixed-case>MEDIQA</fixed-case>-<fixed-case>CORR</fixed-case> 2024: Tackling the Medical Error Detection &amp; Correction Task on the Shoulders of Medical Agents</title>
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<url hash="97282f3e">2024.clinicalnlp-1.58</url>
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<bibkey>zhao-rios-2024-utsa</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.58</doi>
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<video href="2024.clinicalnlp-1.58.mp4"/>
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</paper>
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<paper id="59">
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<title><fixed-case>W</fixed-case>ang<fixed-case>L</fixed-case>ab at <fixed-case>MEDIQA</fixed-case>-<fixed-case>CORR</fixed-case> 2024: Optimized <fixed-case>LLM</fixed-case>-based Programs for Medical Error Detection and Correction</title>
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<url hash="3f088f41">2024.clinicalnlp-1.60</url>
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<bibkey>toma-etal-2024-wanglab-mediqa</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.60</doi>
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<video href="2024.clinicalnlp-1.60.mp4"/>
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</paper>
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<paper id="61">
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<title><fixed-case>LG</fixed-case> <fixed-case>AI</fixed-case> Research &amp; <fixed-case>KAIST</fixed-case> at <fixed-case>EHRSQL</fixed-case> 2024: Self-Training Large Language Models with Pseudo-Labeled Unanswerable Questions for a Reliable Text-to-<fixed-case>SQL</fixed-case> System on <fixed-case>EHR</fixed-case>s</title>
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<url hash="13a0e052">2024.clinicalnlp-1.62</url>
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<bibkey>lee-etal-2024-overview</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.62</doi>
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<video href="2024.clinicalnlp-1.62.mp4"/>
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</paper>
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<paper id="63">
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<title>Saama Technologies at <fixed-case>EHRSQL</fixed-case> 2024: <fixed-case>SQL</fixed-case> Generation through Classification Answer Selector by <fixed-case>LLM</fixed-case></title>
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<url hash="a3704abc">2024.clinicalnlp-1.63</url>
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<bibkey>jabir-etal-2024-saama</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.63</doi>
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<video href="2024.clinicalnlp-1.63.mp4"/>
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</paper>
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<paper id="64">
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<title><fixed-case>KU</fixed-case>-<fixed-case>DMIS</fixed-case> at <fixed-case>EHRSQL</fixed-case> 2024 : Generating <fixed-case>SQL</fixed-case> query via question templatization in <fixed-case>EHR</fixed-case></title>
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<url hash="ca0aca12">2024.clinicalnlp-1.65</url>
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<bibkey>kim-etal-2024-probgate</bibkey>
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<doi>10.18653/v1/2024.clinicalnlp-1.65</doi>
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<video href="2024.clinicalnlp-1.65.mp4"/>
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</paper>
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<paper id="66">
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<title><fixed-case>LTRC</fixed-case>-<fixed-case>IIITH</fixed-case> at <fixed-case>EHRSQL</fixed-case> 2024: Enhancing Reliability of Text-to-<fixed-case>SQL</fixed-case> Systems through Abstention and Confidence Thresholding</title>

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