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Knowledge Graph and Deep Neural Network for Extractive Text Summarization by Utilizing Triples
Journal
FNP-FNS 2020 - 1st Joint Workshop on Financial Narrative Processing and MultiLing Financial Summarisation, Proceedings
Date Issued
2020-01-01
Author(s)
Vhatkar, Amit
Bhattacharyya, Pushpak
Arya, Kavi
Abstract
In our research work, we represent the content of the sentence in graphical form after extracting triples from the sentences. In this paper, we will discuss novel methods to generate an extractive summary by scoring the triples. Our work has also touched upon sequence-to-sequence encoding of the content of the sentence, to classify it as a summary or a non-summary sentence. Our findings help to decide the nature of the sentences forming the summary and the length of the system generated summary as compared to the length of the reference summary.