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» URES : an Unsupervised Web Relation Extraction System
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AIME
1997
Springer
14 years 1 months ago
Rule-Based Labeling of CT Head Image
A rule-based approach to the labeling of computed tomography CT head images containing intracerebral brain hemorrhage ICH is presented in this paper. Fully automated segmentat...
Dubravko Cosic, Sven Loncaric
ACL
2010
13 years 7 months ago
Learning 5000 Relational Extractors
Many researchers are trying to use information extraction (IE) to create large-scale knowledge bases from natural language text on the Web. However, the primary approach (supervis...
Raphael Hoffmann, Congle Zhang, Daniel S. Weld
LREC
2010
183views Education» more  LREC 2010»
13 years 10 months ago
Extracting Lexico-conceptual Knowledge for Developing Persian WordNet
Semantic lexicons and lexical ontologies are some major resources in natural language processing. Developing such resources are time consuming tasks for which some automatic metho...
Mehrnoush Shamsfard, Hakimeh Fadaei, Elham Fekri
PKDD
2004
Springer
205views Data Mining» more  PKDD 2004»
14 years 2 months ago
Breaking Through the Syntax Barrier: Searching with Entities and Relations
The next wave in search technology will be driven by the identification, extraction, and exploitation of real-world entities represented in unstructured textual sources. Search sy...
Soumen Chakrabarti
AAAI
2004
13 years 10 months ago
Methods for Domain-Independent Information Extraction from the Web: An Experimental Comparison
Our KNOWITALL system aims to automate the tedious process of extracting large collections of facts (e.g., names of scientists or politicians) from the Web in an autonomous, domain...
Oren Etzioni, Michael J. Cafarella, Doug Downey, A...