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ACL
1998
15 years 8 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...
AMC
2007
138views more  AMC 2007»
15 years 6 months ago
An experimental comparison of machine learning for adaptive sketch recognition
Benefiting from advances in online sketchy shape recognition system could not be expected before the problem of its adaptability is well solved. In this paper, three methods of m...
Lisha Zhang, Zhengxing Sun
PODS
2004
ACM
137views Database» more  PODS 2004»
16 years 6 months ago
On the Memory Requirements of XPath Evaluation over XML Streams
The important challenge of evaluating XPath queries over XML streams has sparked much interest in the past few years. A number of algorithms have been proposed, supporting wider f...
Ziv Bar-Yossef, Marcus Fontoura, Vanja Josifovski
AGI
2008
15 years 8 months ago
Artificial General Intelligence through Large-Scale, Multimodal Bayesian Learning
Abstract. An artificial system that achieves human-level performance on opendomain tasks must have a huge amount of knowledge about the world. We argue that the most feasible way t...
Brian Milch
ECIS
2001
15 years 8 months ago
Discursive Evaluation in a Distributed Learning Community
This paper reports on a distance education project where a threaded discussion board was used for interaction amongst students and teachers. The experiences from the first year of...
Lars Svensson