250 search results - page 23 / 50 » Learning Probabilistic Models of Word Sense Disambiguation |
NAACL
2007
14 years 11 months ago
2007
Graph-based semi-supervised learning has recently emerged as a promising approach to data-sparse learning problems in natural language processing. All graph-based algorithms rely ...
LREC
2010
14 years 11 months ago
2010
We propose a methodology for a novel type of discourse annotation whose model is tuned to the analysis of a text as narrative. This is intended to be the basis of a "story ba...
ICDAR
2009
IEEE
15 years 4 months ago
2009
IEEE
To develop effective learning algorithms for online cursive word recognition is still a challenge research issue. In this paper, we propose a probabilistic framework to model the ...
110
click to vote
MMS
2006
14 years 9 months ago
2006
This paper addresses automatic image annotation problem and its application to multi-modal image retrieval. The contribution of our work is three-fold. (1) We propose a probabilis...
LREC
2010
14 years 11 months ago
2010
This paper presents a geometric approach to meaning representation within the framework of continuous mathematics. Meaning representation is a central issue in Natural Language Pr...