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» Advances in Knowledge Acquisition and Representation
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EMNLP
2004
13 years 9 months ago
Comparing and Combining Generative and Posterior Probability Models: Some Advances in Sentence Boundary Detection in Speech
We compare and contrast two different models for detecting sentence-like units in continuous speech. The first approach uses hidden Markov sequence models based on N-grams and max...
Yang Liu, Andreas Stolcke, Elizabeth Shriberg, Mar...
HIS
2003
13 years 9 months ago
Rated MCRDR: Finding non-Linear Relationships Between Classifications in MCRDR
Multiple Classification Ripple Down Rules (MCRDR) is a simple and effective knowledge acquisition technique that produces representations, or knowledge maps, of a human expert’s ...
Richard Dazeley, Byeong Ho Kang
IROS
2009
IEEE
145views Robotics» more  IROS 2009»
14 years 2 months ago
KNOWROB - knowledge processing for autonomous personal robots
— Knowledge processing is an essential technique for enabling autonomous robots to do the right thing to the right object in the right way. Using knowledge processing the robots ...
Moritz Tenorth, Michael Beetz
IAAI
1993
13 years 9 months ago
ESDS: Materials Technology Knowledge Bases Supporting Design of Boeing Jetliners
This paper describes a large rule-based application called Engineering Standards Distribution System (ESDS). ESDS was built and deployed by Boeing and helps design engineers speci...
Mark A. Dahl
NIPS
2003
13 years 9 months ago
Unsupervised Context Sensitive Language Acquisition from a Large Corpus
We describe a pattern acquisition algorithm that learns, in an unsupervised fashion, a streamlined representation of linguistic structures from a plain natural-language corpus. Th...
Zach Solan, David Horn, Eytan Ruppin, Shimon Edelm...