Query-Based Abstractive Summarization Using Neural Networks

Johan Hasselqvist; Niklas Helmertz; Mikael Kågebäck

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arXiv · 1712.06100

Query-Based Abstractive Summarization Using Neural Networks

Johan Hasselqvist·Niklas Helmertz·Mikael Kågebäck

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Abstract

In this paper, we present a model for generating summaries of text documents with respect to a query. This is known as query-based summarization. We adapt an existing dataset of news article summaries for the task and train a pointer-generator model using this dataset. The generated summaries are evaluated by measuring similarity to reference summaries. Our results show that a neural network summarization model, similar to existing neural network models for abstractive summarization, can be constructed to make use of queries to produce targeted summaries.

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Johan Hasselqvist, Niklas Helmertz, Mikael Kågebäck. 2017-12-17. Query-Based Abstractive Summarization Using Neural Networks. https://arxiv.org/abs/1712.06100

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