Sciweavers

90 search results - page 7 / 18
» Non-distributional Word Vector Representations
Sort
View
SDM
2010
SIAM
259views Data Mining» more  SDM 2010»
13 years 10 months ago
Semi-supervised Bio-named Entity Recognition with Word-Codebook Learning
We describe a novel semi-supervised method called WordCodebook Learning (WCL), and apply it to the task of bionamed entity recognition (bioNER). Typical bioNER systems can be seen...
Pavel P. Kuksa, Yanjun Qi
FQAS
2009
Springer
129views Database» more  FQAS 2009»
14 years 3 months ago
Representing Context Information for Document Retrieval
The bag of words representation (BoW), which is widely used in information retrieval (IR), represents documents and queries as word lists that do not express anything about context...
Maya Carrillo, Esaú Villatoro-Tello, Aureli...
IJCNN
2008
IEEE
14 years 3 months ago
Knowledge representation and acquisition for large-scale semantic memory
Abstract—Acquisition and representation of semantic concepts is a necessary requirement for the understanding of natural languages by cognitive systems. Word games provide an int...
Julian Szymanski, Wlodzislaw Duch
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 8 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
ACL
2001
13 years 10 months ago
Parse Forest Computation of Expected Governors
In a headed tree, each terminal word can be uniquely labeled with a governing word and grammatical relation. This labeling is a summary of a syntactic analysis which eliminates de...
Helmut Schmid, Mats Rooth