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AI
2010
Springer
15 years 2 months ago
Toward a Gold Standard for Extractive Text Summarization
Abstract. Extractive text summarization is the process of selecting relevant sentences from a collection of documents, perhaps only a single document, and arranging such sentences ...
Alistair Kennedy, Stan Szpakowicz
60
Voted
CEC
2009
IEEE
15 years 2 months ago
Glomerulus extraction by using genetic algorithm for edge patching
—Glomerulus is the filtering unit of the kidney. In the computer aided diagnosis system designed for kidney disease, glomerulus extraction is an important step for analyzing kidn...
Jiaxin Ma, Jingqiao Zhang, Jinglu Hu
KDD
1995
ACM
129views Data Mining» more  KDD 1995»
15 years 1 months ago
Feature Extraction for Massive Data Mining
Techniques for learning from data typically require data to be in standard form. Measurements must be encoded in a numerical format such as binary true-or-false features, numerica...
V. Seshadri, Raguram Sasisekharan, Sholom M. Weiss
84
Voted
AAAI
2010
14 years 11 months ago
Multi-Task Active Learning with Output Constraints
Many problems in information extraction, text mining, natural language processing and other fields exhibit the same property: multiple prediction tasks are related in the sense th...
Yi Zhang 0010
AAAI
2012
13 years 23 hour ago
Ontological Smoothing for Relation Extraction with Minimal Supervision
Relation extraction, the process of converting natural language text into structured knowledge, is increasingly important. Most successful techniques use supervised machine learni...
Congle Zhang, Raphael Hoffmann, Daniel S. Weld