Title :
Generating titles for paragraphs using statistically extracted keywords and phrases
Author :
Gokcay, Didem ; Gokcay, Erhan
Author_Institution :
Dept. of Comput. & Inf. Sci., Florida Univ., Gainesville, FL, USA
Abstract :
Text analysis tasks such as automatic indexing, automatic abstracting and automatic title generation require determination of the main theme and text content. In this paper, the statistical methods used in automatic indexing for the extraction of keywords is adopted for title generation. Using two online dictionaries, a prototype statistical title generation system is developed and tested on social science abstracts and reading comprehension exercises
Keywords :
abstracting; glossaries; indexing; statistical analysis; automatic abstracting; automatic indexing; automatic title generation; online dictionaries; paragraphs; reading comprehension exercises; social science abstracts; statistical methods; statistically extracted keywords; text analysis tasks; text content; title generation; Abstracts; Data mining; Dictionaries; Frequency; Machine assisted indexing; Prototypes; Statistical analysis; System testing; Text analysis; Text processing;
Conference_Titel :
Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century., IEEE International Conference on
Conference_Location :
Vancouver, BC
Print_ISBN :
0-7803-2559-1
DOI :
10.1109/ICSMC.1995.538271
