Transformer-Based Composite Language Models for Text Evaluation and Classification
Mihailo Škorić,
Miloš Utvić,
Ranka Stanković
Abstract:Parallel natural language processing systems were previously successfully tested on the tasks of part-of-speech tagging and authorship attribution through mini-language modeling, for which they achieved significantly better results than independent methods in the cases of seven European languages. The aim of this paper is to present the advantages of using composite language models in the processing and evaluation of texts written in arbitrary highly inflective and morphology-rich natural language, particularl… Show more
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