Multi-Document Summarization using Distributed Bag-of-Words Model
Computation and Language
2018-06-12 v2
Abstract
As the number of documents on the web is growing exponentially, multi-document summarization is becoming more and more important since it can provide the main ideas in a document set in short time. In this paper, we present an unsupervised centroid-based document-level reconstruction framework using distributed bag of words model. Specifically, our approach selects summary sentences in order to minimize the reconstruction error between the summary and the documents. We apply sentence selection and beam search, to further improve the performance of our model. Experimental results on two different datasets show significant performance gains compared with the state-of-the-art baselines.
Cite
@article{arxiv.1710.02745,
title = {Multi-Document Summarization using Distributed Bag-of-Words Model},
author = {Kaustubh Mani and Ishan Verma and Hardik Meisheri and Lipika Dey},
journal= {arXiv preprint arXiv:1710.02745},
year = {2018}
}