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ACL
1998
15 years 3 months ago
Trainable, Scalable Summarization Using Robust NLP and Machine Learning
We describe a trainable and scalable summarization system which utilizes features derived from information retrieval, information extraction, and NLP techniques and on-line resour...
Chinatsu Aone, Mary Ellen Okurowski, James Gorlins...
ICALT
2007
IEEE
15 years 8 months ago
Managing Personalized and Adapted Medical Learning Objects
Medical learning objects deviates from traditional notion of learning object in that it is always in a digital form and relates to medication. They may include text, images, sound...
Juha Puustjärvi, Leena Puustjärvi
127
Voted
CORR
2002
Springer
141views Education» more  CORR 2002»
15 years 2 months ago
Question answering: from partitions to Prolog
Abstract. We implement Groenendijk and Stokhof's partition semantics of questions in a simple question answering algorithm. The algorithm is sound, complete, and based on tabl...
Balder ten Cate, Chung-chieh Shan
143
Voted
CVPR
2004
IEEE
16 years 4 months ago
An Unsupervised, Online Learning Framework for Moving Object Detection
Object detection with a learned classifier has been applied successfully to difficult tasks such as detecting faces and pedestrians. Systems using this approach usually learn the ...
Vinod Nair, James J. Clark
142
Voted
ICRA
2003
IEEE
222views Robotics» more  ICRA 2003»
15 years 7 months ago
Path planning using learned constraints and preferences
— In this paper we present a novel method for robot path planning based on learning motion patterns. A motion pattern is defined as the path that results from applying a set of ...
Gregory Dudek, Saul Simhon