Abstractive Summary Generation for the Urdu Language

Abstractive summary generation is a challenging task that requires the model to comprehend the source text and generate a concise and coherent summary that captures the essential information. In this paper, we explore the use of an encoder/decoder approach for abstractive summary generation in the U...

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Published in:arXiv.org 2023-05
Main Authors: Raza, Ali, Hadia Sultan Raja, Maratib, Usman
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Coders
Encoders-Decoders
Qualitative analysis
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Hadia Sultan Raja
Maratib, Usman
description Abstractive summary generation is a challenging task that requires the model to comprehend the source text and generate a concise and coherent summary that captures the essential information. In this paper, we explore the use of an encoder/decoder approach for abstractive summary generation in the Urdu language. We employ a transformer-based model that utilizes self-attention mechanisms to encode the input text and generate a summary. Our experiments show that our model can produce summaries that are grammatically correct and semantically meaningful. We evaluate our model on a publicly available dataset and achieve state-of-the-art results in terms of Rouge scores. We also conduct a qualitative analysis of our model's output to assess its effectiveness and limitations. Our findings suggest that the encoder/decoder approach is a promising method for abstractive summary generation in Urdu and can be extended to other languages with suitable modifications.
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subjects Coders
Encoders-Decoders
Qualitative analysis
title Abstractive Summary Generation for the Urdu Language
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