Accession Number:

ADA460570

Title:

Language Independent NER using a Unified Model of Internal and Contextual Evidence

Descriptive Note:

Corporate Author:

JOHNS HOPKINS UNIV BALTIMORE MD CENTER FOR LANGUAGE AND SPEECH PROCESSING (CLSP)

Personal Author(s):

Report Date:

2002-01-01

Pagination or Media Count:

5.0

Abstract:

Abstract This paper investigates the use of a language independent model for named entity recognition based on iterative learning in a co-training fashion, using word-internal and contextual information as independent evidence sources. Its bootstrapping process begins with only seed entities and seed contexts extracted from the provided annotated corpus. F-measure exceeds 77 in Spanish and 72 in Dutch. 1.

Subject Categories:

  • Linguistics

Distribution Statement:

APPROVED FOR PUBLIC RELEASE