Single document summarization using word and sentence embeddings
Available Online December 2015.
- 10.2991/jimet-15.2015.98How to use a DOI?
- Single-Document Summarization; Word Embeddings; Sentence Embeddings
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.
- © 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 -