Malayalam Language Textual Inference Identification Through Attention over Embeddings - Computer, Communication, and Signal Processing Access content directly
Conference Papers Year : 2022

Malayalam Language Textual Inference Identification Through Attention over Embeddings

Abstract

This work focus on natural language inference between two text fragments, which is a uni-directional relationship. Natural language inference is attempted for a language called Malayalam. The Malayalam language is a South Indian, low-resource language. NLI is a subtask in every language because of its importance in summarization, information retrieval, and many other applications. There are only a few attempts in NLI for the Malayalam language. In this work, the application of the attention mechanism helped to enhance the classification performance for binary and multiclass systems. A densenet with additive attention is implemented for softmax and sigmoid classification, increasing accuracy, recall, and F1-score.
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hal-04388162 , version 1 (11-01-2024)

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Sara Renjit, Sumam Mary Idicula. Malayalam Language Textual Inference Identification Through Attention over Embeddings. 6th International Conference on Computer, Communication, and Signal Processing (ICCCSP), Feb 2022, Chennai, India. pp.3-11, ⟨10.1007/978-3-031-11633-9_1⟩. ⟨hal-04388162⟩
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