Generating Digests From Educational Articles Automatically Based on Second Order HMM
- https://doi.org/10.2991/icitel-15.2016.28How to use a DOI?
- Summary generating; HMM; word segmentation
Automatically generating summary of articles is very important when we encounter explosive reading information; computers can help people on text compression, extraction, representation and obtain core text content automatically. However, computer still encounters a lot of difficulties, for example, how to divide words from ambiguity, inaccuracies, redundancy of the lengthy article, and so on. This paper presents an improved Hidden Markov Model (HMM) Word segmentation method.
- © 2016, 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 - Canli Wu AU - Lican Huang PY - 2016/03 DA - 2016/03 TI - Generating Digests From Educational Articles Automatically Based on Second Order HMM BT - Proceedings of the 1st International Conference on Information Technologies in Education and Learning PB - Atlantis Press SP - 122 EP - 124 SN - 2352-538X UR - https://doi.org/10.2991/icitel-15.2016.28 DO - https://doi.org/10.2991/icitel-15.2016.28 ID - Wu2016/03 ER -