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» Identifying Relations for Open Information Extraction
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PAKM
2004
13 years 8 months ago
Incremental Knowledge Acquisition for Building Sophisticated Information Extraction Systems with KAFTIE
Abstract. The aim of our work is to develop a flexible and powerful Knowledge Acquisition framework that allows users to rapidly develop Natural Language Processing systems, includ...
Son Bao Pham, Achim G. Hoffmann
BMCBI
2006
112views more  BMCBI 2006»
13 years 7 months ago
Argument-predicate distance as a filter for enhancing precision in extracting predications on the genetic etiology of disease
Background: Genomic functional information is valuable for biomedical research. However, such information frequently needs to be extracted from the scientific literature and struc...
Marco Masseroli, Halil Kilicoglu, François-...
IJCAI
2003
13 years 8 months ago
Bayesian Information Extraction Network
Dynamic Bayesian networks (DBNs) offer an elegant way to integrate various aspects of language in one model. Many existing algorithms developed for learning and inference in DBNs ...
Leonid Peshkin, Avi Pfeffer
RANLP
2003
13 years 8 months ago
A framework for named entity recognition in the open domain
In this paper, a system for Named Entity Recognition in the Open domain (NERO) is described. It is concerned with recognition of various types of entity, types that will be approp...
Richard J. Evans
COLING
1990
13 years 8 months ago
To Parse or Not to Parse: Relation-Driven Text Skimming
We have designed and implemented a text processing system that can extract important information from hundreds of paragraphs per hour and can be transported within weeks to a new ...
Paul S. Jacobs