Arianne Reimerink


2024

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Ideological Knowledge Representation: Framing Climate Change in EcoLexicon
Arianne Reimerink | Melania Cabezas-García | Pilar León-Araúz | Pamela Faber
Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024)

Culture is underrepresented in terminological resources and ideology is an especially complicated cultural aspect to convey. This complexity stems from the intertwined relationships among the discourse community of politicians, the media and the general public, as well as their interactions with scientific knowledge. Nevertheless, terminological resources should provide the necessary information to understand the political perspective taken in discourse on scientific issues with a high political profile. As in all specialized domains, environmental concepts and terms are subject to dynamism and variation (León-Araúz, 2017). Cognitive term variants (e.g., climate change, climate crisis) are of particular interest because of their presence in political discourse and their potential to influence climate actions. They can be used to reflect multidimensionality, imprecision or ideological attachment. This paper describes a method based on framing in Communication Studies to extract ideological knowledge from corpora. We used Spanish and English parliamentary debates (ParlaMint 2.1) and annotated the interventions that included a term variant of climate change according to an adapted version of the frames proposed by Bolsen and Shapiro (2018). The results showed how climate change discourse changes across de ideological spectrum and we give a proposal on how to represent that knowledge in an environmental TKB on the environment.

2020

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Representing Multiword Term Variation in a Terminological Knowledge Base: a Corpus-Based Study
Pilar León-Araúz | Arianne Reimerink | Melania Cabezas-García
Proceedings of the Twelfth Language Resources and Evaluation Conference

In scientific and technical communication, multiword terms are the most frequent type of lexical units. Rendering them in another language is not an easy task due to their cognitive complexity, the proliferation of different forms, and their unsystematic representation in terminographic resources. This often results in a broad spectrum of translations for multiword terms, which also foment term variation since they consist of two or more constituents. In this study we carried out a quantitative and qualitative analysis of Spanish translation variants of a set of environment-related concepts by evaluating equivalents in three parallel corpora, two comparable corpora and two terminological resources. Our results showed that MWTs exhibit a significant degree of term variation of different characteristics, which were used to establish a set of criteria according to which term variants should be selected, organized and described in terminological knowledge bases.

2018

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Manzanilla: An Image Annotation Tool for TKB Building
Arianne Reimerink | Pilar León-Araúz
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

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Evaluating EcoLexiCAT: a Terminology-Enhanced CAT Tool
Pilar León-Araúz | Arianne Reimerink
Proceedings of the Eleventh International Conference on Language Resources and Evaluation (LREC 2018)

2010

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EcoLexicon: An Environmental TKB
Arianne Reimerink | Pilar León Araúz | Pedro J. Magaña Redondo
Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)

EcoLexicon, a multilingual knowledge resource on the environment, provides an internally coherent information system covering a wide range of specialized linguistic and conceptual needs. Data in our terminological knowledge base (TKB) are primarily hosted in a relational database which is now linked to an ontology in order to apply reasoning techniques and enhance user queries. The advantages of ontological reasoning can only be obtained if conceptual description is based on systematic criteria and a wide inventory of non-hierarchical relations, which confer dynamism to knowledge representation. Thus, our research has mainly focused on conceptual modelling and providing a user-friendly multimodal interface. The dynamic interface, which combines conceptual (networks and definitions), linguistic (contexts, concordances) and graphical information offers users the freedom to surf it according to their needs. Furthermore, dynamism is also present at the representational level. Contextual constraints have been applied to reconceptualise versatile concepts that cause a great deal of information overload.