Abstractive text summarization on WikiHow dataset using sentence embeddings

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2019

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Tozyılmaz, Bahattin

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Summarization is a well known natural language processing task that is used in our day-to-day lives. The field saw recent research using neural networks and word embeddings. We use WikiHow dataset and show that we can match performance of a similar model using sentence embeddings, and using abstractive summarization. We show that we can use sentence embeddings and lower input data size without impacting performance too much.

Subject Keywords

Natural language processing (Computer science)., Keywords: Automatic summarization, artificial neural networks, sentence embedding, task embedding.

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http://etd.lib.metu.edu.tr/upload/12623983/index.pdf
https://hdl.handle.net/11511/44572

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Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats

B. Tozyılmaz, “Abstractive text summarization on WikiHow dataset using sentence embeddings,” Thesis (M.S.) -- Graduate School of Natural and Applied Sciences. Computer Engineering., Middle East Technical University, 2019.