Historic Embodied Emotions Model (Heem) Dataset

Zwaan, Janneke M. van der; Leemans, Inger; Steenbergh, Kristine; Kuijpers, Erika; Roodenburg, Herman; Maks, Isa

doi:10.5281/zenodo.47751

2016

DOI: 10.5281/zenodo.47751

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Historic Embodied Emotions Model (Heem) Dataset

Janneke M. van der Zwaan¹,

Inger Leemans²,

Kristine Steenbergh³

et al.

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LL(O)D and NLP perspectives on semantic change for humanities research

Armaselu

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Khan

et al. 2022

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This paper presents an overview of the LL(O)D and NLP methods, tools and data for detecting and representing semantic change, with its main application in humanities research. The paper’s aim is to provide the starting point for the construction of a workflow and set of multilingual diachronic ontologies within the humanities use case of the COST Action Nexus Linguarum, European network for Web-centred linguistic data science, CA18209. The survey focuses on the essential aspects needed to understand the current trends and to build applications in this area of study.

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LL(O)D and NLP perspectives on semantic change for humanities research

Armaselu

Apostol

Khan

et al. 2022

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show abstract

scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.

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Historic Embodied Emotions Model (Heem) Dataset

Cited by 1 publication

References 0 publications

LL(O)D and NLP perspectives on semantic change for humanities research

LL(O)D and NLP perspectives on semantic change for humanities research

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