Papers with spatial arrangement method

1 papers
Manual Clustering and Spatial Arrangement of Verbs for Multilingual Evaluation and Typology Analysis (2020.coling-main)

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Challenge: Existing methods to learn general language representations from large volumes of unlabeled text have been used to improve multilingual NLP.
Approach: They propose to use a spatial arrangement method to generate large-scale evaluation datasets that balance cross-lingual alignment with language specificity.
Outcome: The proposed method produces semantic verb classes and fine-grained similarity scores for nearly 130 thousand verb pairs.

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