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dc.contributor.authorBartsch, Sabine
dc.contributor.authorDuan, Changxu
dc.contributor.authorTan, Sherry
dc.contributor.authorVolkanovska, Elena
dc.contributor.authorStille, Wolfgang
dc.contributor.editorKönig-Ries, Birgitta
dc.contributor.editorScherzinger, Stefanie
dc.contributor.editorLehner, Wolfgang
dc.contributor.editorVossen, Gottfried
dc.date.accessioned2023-02-23T14:00:10Z
dc.date.available2023-02-23T14:00:10Z
dc.date.issued2023
dc.identifier.isbn978-3-88579-725-8
dc.identifier.urihttp://dl.gi.de/handle/20.500.12116/40367
dc.description.abstractThe discourse on climate change has become a centerpiece of public debate, thereby creating a pressing need to analyze the multitude of messages created by the participants in this communication process. In addition to text, messages on this topic are communicated through images, videos, tables and other data objects that are embedded within a document and accompany the text. This paper presents the process of building the InsightsNet Climate Change Corpus (ICCC), a multimodal corpus on the topic of climate change, using NLP tools to enrich corpus metadata, a dataset that lends itself to the exploration of the interplay between the various modalities that constitute the discourse on climate change.en
dc.language.isoen
dc.publisherGesellschaft für Informatik e.V.
dc.relation.ispartofBTW 2023
dc.relation.ispartofseriesLecture Notes in Informatics (LNI) - Proceedings, Volume P-331
dc.subjectcorpus
dc.subjectclimate change
dc.subjectcomputational linguistics
dc.subjectannotation
dc.subjectmetadata
dc.titleThe InsightsNet Climate Change Corpus (ICCC)en
dc.typeText/Conference Paper
dc.identifier.doi10.18420/BTW2023-59
gi.conference.locationDresden, Germany
gi.conference.date06.-10. März 2023
gi.citation.startPage887
gi.citation.endPage900
gi.citation.publisherPlaceBonn


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