Automated dictionary construction for information extraction from text

Author

Riloff, Ellen ; Lehnert, Wendy

Author_Institution

Dept. of Comput. Sci., Massachusetts Univ., Amherst, MA, USA

fYear

1993

fDate

1-5 Mar 1993

Firstpage

93

Lastpage

99

Abstract

The authors have developed a tool called AutoSlog that automatically constructs domain-specific dictionaries given a set of annotated training texts. Using AutoSlog, a first-year graduate student who had minimal experience with the CIRCUS sentence analyzer on which AutoSlog is based, created a dictionary for the domain of terrorism in 8 hours. In the experiments, the 8-hour AutoSlog dictionary achieved 90% of the performance of a hand-crafted dictionary that required 1500 person-hours of effort by 2 advanced graduate students who were highly skilled with the sentence analyzer

Keywords

character recognition; feature extraction; glossaries; word processing; AutoSlog; CIRCUS sentence analyzer; annotated training texts; automated dictionary construction; domain-specific dictionaries; information extraction; Computer science; Data mining; Dictionaries; Industrial training; Knowledge engineering; Natural language processing; Performance analysis; Scalability; Terrorism; Text analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Artificial Intelligence for Applications, 1993. Proceedings., Ninth Conference on

Conference_Location

Orlando, FL

Print_ISBN

0-8186-3840-0

Type

conf

DOI

10.1109/CAIA.1993.366656

Filename

366656