Mar 15, 2022 · The present work proposes a scheme for multi-document abstractive text summarization using node-aligned Word Graph based representation of clustered sentences.
The present work proposes a scheme for multi-document abstractive text summarization using node-aligned Word Graph based representation of clustered ...
The present work proposes a scheme for multi-document abstractive text summarization using node-aligned Word Graph based representation of clustered ...
Improvements in Multi-Document Abstractive Summarization using Multi Sentence Compression with Word Graph and Node Alignment. https://doi.org/10.1016/j.eswa ...
The nodes of the Word Graph are aligned to fuse multiple chunks of information. • Similar sentences are compressed by traversing between fixed nodes of the ...
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Improvements in Multi-Document Abstractive Summarization using Multi Sentence Compression with Word Graph and Node Alignment.
In this paper, we focus on the problem of using sentence compression techniques to improve multi-document summariza- tion. We propose an innovative sentence.
Once the first sentence is added, words from the following sentences are mapped onto a node in the graph provided that they have exactly the same word form and ...
In this work, we aim at developing an abstractive summarizer. First, our proposed approach identifies the most important document in the multi-document set. The ...
In this paper, we develop a neural abstractive multi- document summarization (MDS) model which can leverage well-known graph representa- tions of documents such ...