Improved Automatic Title Generation for Chinese Spoken Documents
Date Issued
2007
Date
2007
Author(s)
Kuo, Ko-Chien
DOI
zh-TW
Abstract
Title generation is considered important in the near future for easy browsing and retrieving the multimedia document. The natural properties of titles are different from summaries, which make automatic title generation a more challenging task and hence not much improvement has been reported compared with automatic summarization. In this paper an improved non-extractive title generation method is developed. An evaluating data is first summarized and then with Viterbi beam search and various scores learnt form training corpus, we found the output title. Very positive results were btained.
Subjects
Chinese spoken document title generation
Type
thesis
File(s)![Thumbnail Image]()
Loading...
Name
ntu-96-R94942126-1.pdf
Size
23.31 KB
Format
Adobe PDF
Checksum
(MD5):d6d2b4be473267d4c3e27777248b2826