Extracting structured information from user queries with semi-supervised conditional random fields

2009 ◽  
Author(s):  
Xiao Li ◽  
Ye-Yi Wang ◽  
Alex Acero
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Structured Information ◽  
User Queries

scholarly journals The structural extraction of Chinese medical narratives

2018 ◽  
Author(s):  
Rongzhi Zhang ◽  
Haifei Zhang ◽  
Zhiyu Yao ◽  
Zhengxing Huang
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Health Service Delivery ◽  
Data Set ◽  
Rule Based ◽  
Secondary Purpose ◽  
Medical Narratives ◽  
Structured Information ◽  
Quality Of Medical Care

AbstractMedical narratives document a vast amount of clinical data. This data has a valuable secondary purpose, as it may be used to optimize health service delivery and improve the quality of medical care. However, medical narratives are typically recorded in an unstructured manner, which complicates the process of extracting the structured information required for optimization. In this paper, we address this problem by applying and comparing two models, a rule-based model and a model based on conditional random fields (CRFs), to a data set of Chinese medical narratives. Among 4626 manually annotated Chinese medical narratives, collected from Shanxi Dayi Hospital in China, the rule-based model achieved 95.87% precision, 69.82% recall, and an F-score of 80.80%, and the CRF-based model realized 95.99% precision, 65.11% recall, and a 77.59% F-score. These experimental results demonstrate the efficacy of both proposed models for structural extraction from Chinese medical narratives.

Detection Approach of DDoS Attacks Based on Conditional Random Fields

2011 ◽  
Vol 22 (8) ◽  
pp. 1897-1910 ◽  
Author(s):  
Yun LIU ◽  
Zhi-Ping CAI ◽  
Ping ZHONG ◽  
Jian-Ping YIN ◽  
Jie-Ren CHENG
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Ddos Attacks ◽  
Detection Approach

Mongolian part-of-speech tagging approach based on conditional random fields

2010 ◽  
Vol 30 (8) ◽  
pp. 2038-2040
Author(s):  
Yu-long YING ◽  
Miao LI ◽  
bala Wuda ◽  
Hai ZHU
Keyword(s):  
Random Fields ◽  
Conditional Random Fields ◽  
Part Of Speech Tagging ◽  
Part Of Speech ◽  
Speech Tagging

Long-range Terrain Perception Based on Conditional Random Fields

ROBOT ◽  
2010 ◽  
Vol 32 (3) ◽  
pp. 326-333
Author(s):  
Mingjun WANG ◽  
Jun ZHOU ◽  
Jun TU ◽  
Chengliang LIU
Keyword(s):  
Long Range ◽  
Random Fields ◽  
Conditional Random Fields
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