Query-Based Abstractive Summarization Using Neural Networks

Code

• github.com/helmertz/querysum-data
  OfficialIn papernone★ 0
• github.com/helmertz/querysum
  OfficialIn papertf★ 0

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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