DocumentCode
2039375
Title
Automatic titling of electronic documents with noun phrase extraction
Author
Lopez, Cedric ; Prince, Violaine ; Roche, Mathieu
Author_Institution
LIRMM, Univ. Montpellier 2, Montpellier, France
fYear
2010
fDate
7-10 Dec. 2010
Firstpage
168
Lastpage
171
Abstract
Automatic titling (i.e. providing titles) is one of key domains of Web site accessibility. This paper provides an approach allowing the automatic titling of texts (e.g. emails, fora, etc.) relying on the morphosyntactic study of human written titles in a corpus of various texts. The method is developed in four stages: Corpus acquisition, candidate sentences determination for titling, noun phrase extraction in the candidate sentences, and finally, selecting a particular noun phrase to play the role of the text title (ChTitres approach). The method has been evaluated by ten users, and the satisfaction enquiry shows that the titles selected through this process are relevant.
Keywords
Web sites; information retrieval; text analysis; Web site accessibility; automatic titling; candidate sentences determination; corpus acquisition; electronic documents; information retrieval; noun phrase extraction; text title; Data mining; Electronic mail; Encyclopedias; Humans; Indexes; Internet; Semantics; application; information retrieval; morphosyntactic characteristics; noun phrases; titling;
fLanguage
English
Publisher
ieee
Conference_Titel
Soft Computing and Pattern Recognition (SoCPaR), 2010 International Conference of
Conference_Location
Paris
Print_ISBN
978-1-4244-7897-2
Type
conf
DOI
10.1109/SOCPAR.2010.5686088
Filename
5686088
Link To Document