Title
Automatic adaptation of proper noun dictionaries through cooperation of machine learning and probabilistic methods
Abstract
The recognition of Proper Nouns (PNs) is considered an important task in the area of Information Retrieval and Extraction. However the high performance of most existing PN classifiers heavily depends upon the availability of large dictionaries of domain-specific Proper Nouns, and a certain amount of manual work for rule writing or manual tagging. Though it is not a heavy requirement to rely on some existing PN dictionary (often these resources are available on the web), its coverage of a domain corpus may be rather low, in absence of manual updating. In this paper we propose a technique for the automatic updating of an PN Dictionary through the cooperation of an inductive and a probabilistic classifier. In our experiments we show that, whenever an existing PN Dictionary allows the identification of 50% of the proper nouns within a corpus, our technique allows, without additional manual effort, the successful recognition of about 90% of the remaining 50%.
Year
DOI
Venue
2000
10.1145/345508.345563
SIGIR
Keywords
Field
DocType
pn dictionary,successful recognition,manual work,manual tagging,information retrieval,text data mining,additional manual effort,proper noun dictionary,domain-specific proper nouns,existing pn dictionary,automatic adaptation,probabilistic method,natural language processing for ir,machine learning and ir,proper nouns,domain corpus,information extraction,noun,machine learning,natural language processing
Information retrieval,Computer science,Probabilistic method,Information extraction,Natural language processing,Artificial intelligence,Probabilistic classification,Proper noun,Machine learning
Conference
ISBN
Citations 
PageRank 
1-58113-226-3
16
2.87
References 
Authors
12
6
Name
Order
Citations
PageRank
Georgios Petasis124323.10
Alessandro Cucchiarelli222636.38
paola velardi31553163.66
Georgios Paliouras41510120.93
Vangelis Karkaletsis5109297.99
Constantine D. Spyropoulos61417112.63