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» A Method of Recognizing Entity and Relation
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BMCBI
2008
173views more  BMCBI 2008»
13 years 11 months ago
Extraction of semantic biomedical relations from text using conditional random fields
Background: The increasing amount of published literature in biomedicine represents an immense source of knowledge, which can only efficiently be accessed by a new generation of a...
Markus Bundschus, Mathäus Dejori, Martin Stet...
KDD
2004
ACM
141views Data Mining» more  KDD 2004»
14 years 11 months ago
A Maximum Entropy Approach to Biomedical Named Entity Recognition
Machine learning approaches are frequently used to solve name entity (NE) recognition (NER). In this paper we propose a hybrid method that uses maximum entropy (ME) as the underly...
Yi-Feng Lin, Tzong-Han Tsai, Wen-Chi Chou, Kuen-Pi...
VISSOFT
2005
IEEE
14 years 4 months ago
Exploring Relations within Software Systems Using Treemap Enhanced Hierarchical Graphs
The clear and meaningful visualization of relations between software entities is an invaluable tool for the comprehension, evaluation, and reengineering of the structure of existi...
Michael Balzer, Oliver Deussen
LREC
2008
104views Education» more  LREC 2008»
14 years 8 days ago
Learning Patterns for Building Resources about Semantic Relations in the Medical Domain
In this article, we present a method for extracting automatically from texts semantic relations in the medical domain using linguistic patterns. These patterns refer to three leve...
Mehdi Embarek, Olivier Ferret
FATES
2004
Springer
14 years 4 months ago
Using Model Checking for Reducing the Cost of Test Generation
This paper presents a method for reducing the cost of test generation. A spanning set for a coverage criterion is a set of entities such that exercising every entity in the spannin...
Hyoung Seok Hong, Hasan Ural