Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference

Single document summarization using word and sentence embeddings

Authors
Ayana
Corresponding Author
Ayana
Available Online December 2015.
DOI
10.2991/jimet-15.2015.98How to use a DOI?
Keywords
Single-Document Summarization; Word Embeddings; Sentence Embeddings
Abstract

Automatic document summarization has become increasingly important in the age of big data. However, traditional summarization systems have two major weaknesses: term-vector data sparsity and semantic information deficiency. In this paper, we solve these problems by adopting word and sentence embeddings, whose distributed nature enables the relation establishment between words and sentences. Experimental result shows that our models outperform two state-of-the-art graph based summarization systems.

Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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Volume Title
Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
Series
Advances in Computer Science Research
Publication Date
December 2015
ISBN
978-94-6252-129-2
ISSN
2352-538X
DOI
10.2991/jimet-15.2015.98How to use a DOI?
Copyright
© 2015, the Authors. Published by Atlantis Press.
Open Access
This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

Cite this article

TY  - CONF
AU  - Ayana
PY  - 2015/12
DA  - 2015/12
TI  - Single document summarization using word and sentence embeddings
BT  - Proceedings of the 2015 Joint International Mechanical, Electronic and Information Technology Conference
PB  - Atlantis Press
SP  - 523
EP  - 526
SN  - 2352-538X
UR  - https://doi.org/10.2991/jimet-15.2015.98
DO  - 10.2991/jimet-15.2015.98
ID  - 2015/12
ER  -