ABSTRACTIVE TEXT SUMMARIZATION ON WIKIHOW DATASET USING SENTENCE EMBEDDINGS


Thesis Type: Postgraduate

Institution Of The Thesis: Middle East Technical University, Graduate School of Natural and Applied Sciences, Turkey

Approval Date: 2019

Thesis Language: English

Student: BAHATTİN TOZYILMAZ

Consultant: Hande Alemdar

Abstract:

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.