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» A Generative Probabilistic OCR Model for NLP Applications
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EMNLP
2007
13 years 9 months ago
Bootstrapping Feature-Rich Dependency Parsers with Entropic Priors
One may need to build a statistical parser for a new language, using only a very small labeled treebank together with raw text. We argue that bootstrapping a parser is most promis...
David A. Smith, Jason Eisner
IBPRIA
2003
Springer
14 years 25 days ago
A Colour Tracking Procedure for Low-Cost Face Desktop Applications
In this paper we present an environment for the tracking of a human face obtained from a real video sequence. We will describe the system and discuss the advantages and disadvanta...
Francisco J. Perales López, Ramon Mas, Miqu...
MSWIM
2003
ACM
14 years 27 days ago
Randomized location service in mobile ad hoc networks
Mobile Ad-Hoc Networks (MANETS) are networks of mobile nodes that do not have a fixed infrastructure. Recent research in this field addresses ways of solving existing problems i...
Sangeeta Bhattacharya
WSDM
2012
ACM
309views Data Mining» more  WSDM 2012»
12 years 3 months ago
Mining contrastive opinions on political texts using cross-perspective topic model
This paper presents a novel opinion mining research problem, which is called Contrastive Opinion Modeling (COM). Given any query topic and a set of text collections from multiple ...
Yi Fang, Luo Si, Naveen Somasundaram, Zhengtao Yu
ACL
2009
13 years 5 months ago
A Novel Word Segmentation Approach for Written Languages with Word Boundary Markers
Most NLP applications work under the assumption that a user input is error-free; thus, word segmentation (WS) for written languages that use word boundary markers (WBMs), such as ...
Han-Cheol Cho, Do-Gil Lee, Jung-Tae Lee, Pontus St...