stands for Digital Object Identifier
and is the unique identifier for objects on the internet. It can be used to create persistent link and to cite articles.
Using DOI as a persistent link
To create a persistent link, add「http://dx.doi.org/」
before a DOI.
For instance, if the DOI of an article is 10.5297/ser.1201.002 , you can link persistently to the article by entering the following link in your browser: http://dx.doi.org/ 10.5297/ser.1201.002 。
The DOI link will always direct you to the most updated article page no matter how the publisher changes the document's position, avoiding errors when engaging in important research.
Cite a document with DOI
When citing references, you should also cite the DOI if the article has one. If your citation guideline does not include DOIs, you may cite the DOI link.
DOIs allow accurate citations, improve academic contents connections, and allow users to gain better experience across different platforms. Currently, there are more than 70 million DOIs registered for academic contents. If you want to understand more about DOI, please visit airiti DOI Registration （ doi.airiti.com ） 。
劉士弘 , Ph.D Advisor：顏嗣鈞 Co-advisor ：許聞廉
英文 DOI： 10.6342/NTU201601686
節錄式自動摘要 ； 語言模型 ； 庫爾貝克-萊伯勒離散度 ； 語句明確度 ； 關聯性 ； 重疊分群 ； 鄰近語言模型 ； 位置語言模型 ； extractive speech summarization ； clarity measure ； relevance language modeling ； overlapped clustering ； proximity-based LM ； position-aware LM
-  S. Furui, T. Kikuchi, Y. Shinnaka, and C. Hori, “Speech-to-text and speech-to-speech summarization of spontaneous speech,” IEEE Transactions on Speech and Audio Processing, Vol. 12, No. 4, pp. 401–408, 2004.
-  K. McKeown, J. Hirschberg, M. Galley, and S. Maskey, “From text to speech summarization,” in Proc. of IEEE International Conference on Acoustics, Speech, and Signal Processing, pp. 997–1000, 2005.
-  J. J. Zhang, R. H. Y. Chan, and P. Fung, “Extractive speech summarization using shallow rhetorical structure modeling,” IEEE Transactions on Audio, Speech and Language Processing, Vol. 18, No. 6, pp. 1147–1157, 2010.
-  S. Furui, L. Deng, M. Gales, H. Ney, and K. Tokuda, “Fundamental technologies in modern speech recognition,” IEEE Signal Processing Magazine, Vol. 29, No. 6, pp. 16–17, 2012
-  D. O'Shaughnessy, L. Deng, and H. Li, “Speech information processing: Theory and applications,” Proceedings of the IEEE, Vol. 101, No. 5, pp. 1034–1037, 2013.
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