ABSTRACTIVE TEXT SUMMARIZATION ON WIKIHOW DATASET USING SENTENCE EMBEDDINGS

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Fen Bilimleri Enstitüsü, Türkiye

Tezin Onay Tarihi: 2019

Tezin Dili: İngilizce

Öğrenci: BAHATTİN TOZYILMAZ

Danışman: Hande Alemdar

Özet:

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.