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NLDB
2007
Springer
14 years 1 months ago
Four Methods for Supervised Word Sense Disambiguation
Word sense disambiguation is the task to identify the intended meaning of an ambiguous word in a certain context, one of the central problems in natural language processing. This p...
Kinga Schumacher
ICDM
2008
IEEE
112views Data Mining» more  ICDM 2008»
14 years 2 months ago
Supervised Inductive Learning with Lotka-Volterra Derived Models
We present a classification algorithm built on our adaptation of the Generalized Lotka-Volterra model, well-known in mathematical ecology. The training algorithm itself consists ...
Karen Hovsepian, Peter Anselmo, Subhasish Mazumdar
COLING
2008
13 years 9 months ago
Bayesian Semi-Supervised Chinese Word Segmentation for Statistical Machine Translation
Words in Chinese text are not naturally separated by delimiters, which poses a challenge to standard machine translation (MT) systems. In MT, the widely used approach is to apply ...
Jia Xu, Jianfeng Gao, Kristina Toutanova, Hermann ...
SBRN
2002
IEEE
14 years 21 days ago
Neural Connect 4 - A Connectionist Approach to the Game
This article presents the system “Neural Connect 4”, a program that plays the game Connect Four. This system employs the multilayer perceptron architecture which is learning t...
Marvin Oliver Schneider, João Luís G...
IRI
2007
IEEE
14 years 2 months ago
BESearch: A Supervised Learning Approach to Search for Molecular Event Participants
Biomedical researchers rely on keyword-based search engines to retrieve superficially relevant documents, from which they must filter out irrelevant information manually. Hence, t...
Richard Tzong-Han Tsai, Hong-Jie Dai, Hsi-Chuan Hu...