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		<datafield tag="980" ind1=" " ind2=" ">
			<subfield code="a">CONF</subfield>
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		<datafield tag="970" ind1=" " ind2=" ">
			<subfield code="a">Vallejo-Aldana_IBERLEF2023_2023/IDIAP</subfield>
		</datafield>
		<datafield tag="245" ind1=" " ind2=" ">
			<subfield code="a">Enhancing Multi-modal Classification of Violent Events using Image Captioning</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Vallejo-Aldana, Daniel</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">López-Monroy, A. Pastor</subfield>
		</datafield>
		<datafield tag="700" ind1=" " ind2=" ">
			<subfield code="a">Villatoro-Tello, Esaú</subfield>
		</datafield>
		<datafield tag="711" ind1="2" ind2=" ">
			<subfield code="a">Proceedings of the Iberian Languages Evaluation Forum (IberLEF 2023), CEUR Workshop Proceedings</subfield>
			<subfield code="c">Jaén, Spain</subfield>
		</datafield>
		<datafield tag="773" ind1=" " ind2=" ">
			<subfield code="v">3496</subfield>
			<subfield code="x">1613-0073</subfield>
		</datafield>
		<datafield tag="260" ind1=" " ind2=" ">
			<subfield code="c">2023</subfield>
		</datafield>
		<datafield tag="856" ind1="4" ind2=" ">
			<subfield code="u">https://ceur-ws.org/Vol-3496/davincis-paper2.pdf</subfield>
			<subfield code="z">URL</subfield>
		</datafield>
		<datafield tag="520" ind1=" " ind2=" ">
			<subfield code="a">This research paper presents our involvement in the collaborative evaluation campaign of DA-
VINCIS@IberLEF 2023. Our focus lies on tackling the Violent-Event Identification (VEI) task, wherein we
employ a multi-modal approach that combines textual input with image captions extracted from visual
data. The obtained results demonstrate a competitive performance, as we achieved the top position in
the VEI task with an average F1 score of 0.92638</subfield>
		</datafield>
	</record>
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