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An Attention Ensemble Approach for Efficient Text Classification of Indian Languages
[article]
2021
arXiv
pre-print
The recent surge of complex attention-based deep learning architectures has led to extraordinary results in various downstream NLP tasks in the English language. However, such research for resource-constrained and morphologically rich Indian vernacular languages has been relatively limited. This paper proffers team SPPU\_AKAH's solution for the TechDOfication 2020 subtask-1f: which focuses on the coarse-grained technical domain identification of short text documents in Marathi, a Devanagari
arXiv:2102.10275v1
fatcat:rt4nvzik3rdxhdzu34r55pjpoi