Papers with manual checking

2 papers
Developing an Arabic Infectious Disease Ontology to Include Non-Standard Terminology (2020.lrec-1)

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Challenge: Existing ontologies for Arabic are difficult due to the lack of resources and the nature of the Arabic language.
Approach: They propose to build an Arabic ontology that integrates scientific vocabularies with informal equivalents.
Outcome: The proposed ontology integrates scientific vocabularies with informal equivalents in Arabic . it will be automatically generated but the results will be evaluated by a domain expert .
InferBR: A Natural Language Inference Dataset in Portuguese (2024.lrec-main)

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Challenge: Portuguese has few NLI-annotated datasets created through automatic translation followed by manual checking.
Approach: They propose to generate premises and hypotheses using a semiautomatic process to generate sentences and manually check the annotations.
Outcome: The proposed dataset is better at recognizing entailment classes in other Portuguese datasets than the reverse.

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