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IJCAI
2001
14 years 11 months ago
Generating Tailored Examples to Support Learning via Self-explanation
We describe a framework that helps students learn from examples by generating example problem solutions whose level of detail is tailored to the students' domain knowledge. T...
Cristina Conati, Giuseppe Carenini
NLPRS
2001
Springer
15 years 2 months ago
Named Entity Recognition using Machine Learning Methods and Pattern-Selection Rules
Named Entity recognition, as a task of providing important semantic information, is a critical first step in Information Extraction and QuestionAnswering system. This paper propos...
Choong-Nyoung Seon, Youngjoong Ko, Jeong-Seok Kim,...
EMNLP
2006
14 years 11 months ago
Unsupervised Discovery of a Statistical Verb Lexicon
This paper demonstrates how unsupervised techniques can be used to learn models of deep linguistic structure. Determining the semantic roles of a verb's dependents is an impo...
Trond Grenager, Christopher D. Manning
JCNS
2010
126views more  JCNS 2010»
14 years 8 months ago
Calibration of the head direction network: a role for symmetric angular head velocity cells
Abstract Continuous attractor networks require calibration. Computational models of the head direction (HD) system of the rat usually assume that the connections that maintain HD n...
Peter Stratton, Gordon Wyeth, Janet Wiles
TIP
2008
169views more  TIP 2008»
14 years 9 months ago
Weakly Supervised Learning of a Classifier for Unusual Event Detection
In this paper, we present an automatic classification framework combining appearance based features and Hidden Markov Models (HMM) to detect unusual events in image sequences. One...
Mark Jager, Christian Knoll, Fred A. Hamprecht