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EMNLP
2006
14 years 11 months ago
Unsupervised Information Extraction Approach Using Graph Mutual Reinforcement
Information Extraction (IE) is the task of extracting knowledge from unstructured text. We present a novel unsupervised approach for information extraction based on graph mutual r...
Hany Hassan, Ahmed Hassan, Ossama Emam
97
Voted
AUSDM
2008
Springer
258views Data Mining» more  AUSDM 2008»
14 years 11 months ago
wFDT - Weighted Fuzzy Decision Trees for Prognosis of Breast Cancer Survivability
Accurate and less invasive personalized predictive medicine can spare many breast cancer patients from receiving complex surgical biopsies, unnecessary adjuvant treatments and its...
Umer Khan, Hyunjung Shin, Jongpill Choi, Minkoo Ki...
SIGMOD
2008
ACM
159views Database» more  SIGMOD 2008»
15 years 9 months ago
Web-scale extraction of structured data
A long-standing goal of Web research has been to construct a unified Web knowledge base. Information extraction techniques have shown good results on Web inputs, but even most dom...
Michael J. Cafarella, Jayant Madhavan, Alon Y. Hal...
81
Voted
NLPRS
2001
Springer
15 years 2 months ago
Automatic Corpus-Based Extraction of Chinese Legal Terms
This paper reports on a study involving the automatic extraction of Chinese legal terms. We used a word segmented corpus of Chinese court judgments to extract salient legal expres...
Oi Yee Kwong, Benjamin K. Tsou
ICDM
2002
IEEE
109views Data Mining» more  ICDM 2002»
15 years 2 months ago
Using Text Mining to Infer Semantic Attributes for Retail Data Mining
Current Data Mining techniques usually do not have a mechanism to automatically infer semantic features inherent in the data being “mined”. The semantics are either injected i...
Rayid Ghani, Andrew E. Fano